Firozabad, known as the “City of Glass,” is famous for its stunning glassworks and rich cultural heritage. Whether you’re visiting to explore its bustling bazaars or historical landmarks, Motoshare’s bike and car rental services make it easy to navigate the city and its surroundings with convenience and comfort.

With Motoshare, you can rent a vehicle directly from owners in just a few clicks. Affordable, efficient, and tailored for your needs, Motoshare ensures a seamless travel experience for locals and tourists alike.

An Overview of Motoshare Services

Motoshare is revolutionizing travel in Firozabad by offering an easy-to-use platform that connects renters with vehicle owners. Whether it’s a bike for a quick ride through the city or a car for a family outing, Motoshare is your go-to solution.

Why Choose Motoshare?

• Wide Variety of Vehicles: From two-wheelers to spacious cars, Motoshare offers options for all preferences.
• Affordable Rentals: Enjoy competitive pricing with no hidden fees.
• Seamless Online Booking: Book your vehicle in minutes without any hassle.
• Flexible Rentals: Choose from hourly, daily, or weekly rental plans.
• Trusted Service: Well-maintained and reliable vehicles for a safe journey.

Start your journey today:

• Car Rentals in Firozabad: Click here
• Bike Rentals in Firozabad: Click here

Top 10 Places to Visit in Firozabad with Your Motoshare Rental

Firozabad offers a blend of history, craftsmanship, and culture that’s best explored with the freedom of your own ride. Here’s a curated list of must-visit places in and around Firozabad:

1. Glassware Markets

• Why Visit? Explore Firozabad’s world-famous glass products, including chandeliers, glassware, and decorative items.
• Best Time: Morning for less crowded shopping experiences.
• Highlight: Watch artisans craft beautiful glass items.

2. Jain Mandir

• Why Visit? A serene temple showcasing intricate architecture and a peaceful atmosphere.
• Best Time: Early morning for tranquility.
• Highlight: The temple’s stunning marble work and spiritual ambiance.

3. Gokul Chandrama Temple

• Why Visit? A revered temple dedicated to Lord Krishna, known for its vibrant festivals.
• Best Time: During Janmashtami for grand celebrations.
• Tip: Don’t miss the intricate carvings and serene surroundings.

4. Firozabad Clock Tower

• Why Visit? A historical landmark reflecting the city’s colonial past.
• Best Time: Evening for a leisurely visit.
• Highlight: Perfect for photography and cultural exploration.

5. Raja Ka Taal

• Why Visit? A serene spot for nature lovers and photographers, offering beautiful views of the lake.
• Best Time: Sunrise or sunset for the best views.
• Tip: Carry snacks and enjoy a peaceful outing.

6. Tundla Junction (Nearby)

• Why Visit? A key historical site and railway hub with colonial-era charm.
• Best Time: Morning for exploration.
• Highlight: Admire the old-world railway architecture.

7. Vaishno Devi Mandir

• Why Visit? A popular religious site offering a spiritual retreat.
• Best Time: Early morning or festival seasons for a vibrant experience.
• Tip: Ideal for families and groups seeking blessings.

8. Agra (Nearby)

• Why Visit? A short drive from Firozabad, Agra offers iconic attractions like the Taj Mahal, Agra Fort, and Fatehpur Sikri.
• Best Time: Winter for pleasant weather and fewer crowds.
• Highlight: Witness the breathtaking beauty of the Taj Mahal at sunrise.

9. Sukhdev Temple

• Why Visit? A peaceful temple set amidst greenery, perfect for a quick spiritual escape.
• Best Time: Morning for serene vibes.
• Tip: Combine this visit with nearby picnic spots.

10. Sarojini Park

• Why Visit? A well-maintained park ideal for relaxation and family outings.
• Best Time: Evening for cool breezes and a lively atmosphere.
• Highlight: Perfect for kids with ample play areas and green spaces.

Advantages of Renting with Motoshare in Firozabad

1. Freedom to Explore: Discover Firozabad’s attractions without relying on public transport.
2. Budget-Friendly Rentals: Save money with competitive pricing and no hidden costs.
3. Convenient Options: Choose a bike for quick trips or a car for family adventures.
4. Hassle-Free Booking: Book your ride online in just a few clicks.
5. Reliable Vehicles: Well-maintained and trusted options for a smooth journey.

Start Your Firozabad Adventure with Motoshare Today!

Whether you’re a local looking for a reliable ride or a traveler eager to explore, Motoshare’s bike and car rentals offer the perfect solution. Enjoy the freedom to travel at your own pace and create unforgettable memories in Firozabad.

Ready to Begin?

• Rent your bike in Firozabad
• Rent your car in Firozabad

Visit Motoshare to book your ride today and experience the best of Firozabad with ease!

The post The Best Places to Visit in Firozabad with a Motoshare Rental appeared first on Artificial Intelligence.

Saharanpur, a city known for its rich culture, vibrant markets, and natural beauty, is a perfect destination for travelers seeking a blend of history and serenity. Whether you’re visiting the city for leisure or looking to explore its nearby attractions, Motoshare’s newly launched bike and car rental services make it easy to travel around at your own pace.

With Motoshare, you can rent a bike or car directly from vehicle owners with just a few clicks. The platform is designed for convenience, offering affordable and reliable rentals tailored to your needs.

An Overview of Motoshare Services

Motoshare is revolutionizing travel in Saharanpur by providing seamless access to bike and car rentals. The platform connects renters to vehicle owners, ensuring a hassle-free experience for both parties.

Why Choose Motoshare?

• Wide Range of Vehicles: From two-wheelers for quick city commutes to spacious cars for family outings.
• Affordable Pricing: Competitive rates with no hidden charges.
• Effortless Booking: Book online in minutes from the comfort of your home.
• Flexible Durations: Rent for hours, days, or even weeks as per your requirement.
• Trusted Service: Vehicles are well-maintained and ready for use.

Start your journey today:

• Car Rentals in Saharanpur: Click here
• Bike Rentals in Saharanpur: Click here

Top 10 Places to Visit in Saharanpur with Your Motoshare Rental

Saharanpur offers a mix of historical landmarks, spiritual sites, and scenic beauty. With your Motoshare bike or car, you can explore these attractions at your own pace. Here’s a list of must-visit places:

1. Shakumbhari Devi Temple

• Why Visit? A revered shrine dedicated to Goddess Shakumbhari, located amidst scenic hills.
• Best Time: Morning or during Navratri for a spiritual experience.
• Highlight: The serene ambiance and the scenic drive to the temple.

2. Ambedkar Park

• Why Visit? A well-maintained park perfect for evening strolls and family outings.
• Best Time: Evening for a peaceful retreat.
• Tip: Great for kids with ample play areas and green spaces.

3. Saharanpur Botanical Gardens

• Why Visit? A lush garden housing a variety of plants and trees, ideal for nature enthusiasts.
• Best Time: Morning for a refreshing walk.
• Highlight: Explore rare plant species and enjoy the tranquil atmosphere.

4. Jama Masjid

• Why Visit? A historical mosque showcasing Mughal-era architecture and cultural significance.
• Best Time: Morning for a quiet visit.
• Highlight: The intricate designs and peaceful surroundings.

5. Company Garden

• Why Visit? A picturesque garden with walking paths, fountains, and recreational spaces.
• Best Time: Early morning or evening for a relaxing visit.
• Tip: Ideal for family picnics and photography.

6. Gandhi Park

• Why Visit? A popular green space with attractions for all age groups.
• Best Time: Late afternoon or early evening.
• Highlight: Boating and children’s play areas.

7. Haridwar (Nearby)

• Why Visit? Just a short drive from Saharanpur, Haridwar offers spiritual experiences by the holy Ganges.
• Best Time: Early morning or during the evening Ganga Aarti.
• Highlight: Witness the iconic aarti at Har Ki Pauri.

8. Nakur Dargah

• Why Visit? A revered site for spiritual seekers and history enthusiasts.
• Best Time: Morning to avoid crowds.
• Highlight: The tranquil ambiance and historic significance.

9. Shri Baba Lal Das Temple

• Why Visit? A peaceful temple nestled in natural surroundings, perfect for a spiritual getaway.
• Best Time: Early morning for serenity.
• Tip: Combine this visit with a picnic in nearby natural spots.

10. Bhuradev Temple

• Why Visit? A hilltop temple offering panoramic views of the surrounding area.
• Best Time: Sunrise or sunset for breathtaking vistas.
• Highlight: A peaceful retreat away from city life.

Advantages of Renting with Motoshare in Saharanpur

1. Convenience at Your Fingertips: Book your ride online anytime, anywhere.
2. Cost-Effective Options: Choose from affordable bikes and cars for every budget.
3. Reliable Service: Well-maintained vehicles ensure a smooth journey.
4. Flexible Rentals: Perfect for short trips or extended travel plans.
5. Explore Freely: Create your own itinerary and explore Saharanpur at your own pace.

Start Your Saharanpur Adventure with Motoshare Today!

Saharanpur’s beauty and cultural richness are best experienced when you have the freedom to travel on your own terms. Whether it’s a quick city tour or a day trip to nearby attractions, Motoshare’s bike and car rentals provide the perfect travel solution.

Ready to Begin?

• Rent your bike in Saharanpur
• Rent your car in Saharanpur

Visit Motoshare today to book your ride and start exploring Saharanpur like never before!

The post The Best Way to Explore Saharanpur: Motoshare Rentals appeared first on Artificial Intelligence.

Meerut, a city rich in history and cultural heritage, is an incredible destination to explore. Known for its pivotal role in India’s first war of independence in 1857, Meerut also offers a blend of historical landmarks, vibrant bazaars, and serene spots perfect for family outings or solo adventures.

To make your journey around this fascinating city even easier, Motoshare brings its seamless bike and car rental services to Meerut. Whether you’re a resident looking for a quick ride or a traveler seeking the freedom to explore, Motoshare offers a convenient platform to rent vehicles directly from trusted owners.

Start your journey today:

• Car Rentals in Meerut
• Bike Rentals in Meerut

About Motoshare Services in Meerut

1. Effortless Booking
   With Motoshare, renting a bike or car is as simple as browsing the platform, selecting your vehicle, and booking it online.
2. Wide Range of Vehicles
   From budget-friendly bikes to luxury cars, Motoshare offers a diverse selection of vehicles to suit your travel needs.
3. Direct Rentals from Owners
   By connecting renters directly with vehicle owners, Motoshare ensures transparency and cost-effective pricing.
4. Flexible Rental Plans
   Choose hourly, daily, or weekly rentals based on your travel itinerary.
5. Eco-Friendly Options
   Go green with electric bikes and car rentals to reduce your environmental footprint.

Top 10 Places to Visit in Meerut with Motoshare

Meerut is a city that beautifully blends history, spirituality, and modernity. Here’s a curated list of must-visit attractions you can explore with a rented bike or car:

1. Augarnath Temple
   • Highlights: A historic temple associated with India’s freedom struggle.
   • Best Time to Visit: Early mornings for a peaceful and spiritual experience.
2. Gandhi Bagh
   • Highlights: A lush garden perfect for picnics and evening strolls.
   • Best Time to Visit: Evenings to enjoy the light and sound show.
3. Shahid Smarak
   • Highlights: A memorial dedicated to the martyrs of the 1857 uprising.
   • Best Time to Visit: Daytime for a solemn and reflective visit.
4. Suraj Kund Park
   • Highlights: A tranquil pond surrounded by greenery and historical significance.
   • Best Time to Visit: Morning hours for a serene atmosphere.
5. Bale Miyan ki Dargah
   • Highlights: A revered spiritual site attracting people of all faiths.
   • Best Time to Visit: Fridays for special prayers and gatherings.
6. St. John’s Church
   • Highlights: One of the oldest churches in North India with stunning architecture.
   • Best Time to Visit: Sunday mornings for a serene prayer session.
7. Shopping in Sadar Bazaar
   • Highlights: A bustling market offering everything from clothes to street food.
   • Best Time to Visit: Evenings for a lively shopping experience.
8. Hastinapur Wildlife Sanctuary
   • Highlights: A sanctuary with diverse flora and fauna, perfect for nature lovers.
   • Best Time to Visit: Winters for a comfortable safari experience.
9. Parikshitgarh Fort
   • Highlights: A historic fort offering a glimpse into the region’s royal past.
   • Best Time to Visit: Winters for pleasant weather while exploring.
10. Victoria Park
    • Highlights: A peaceful park with walking trails and a serene ambiance.
    • Best Time to Visit: Early mornings or evenings for a relaxing time.

Why Choose Motoshare for Exploring Meerut?

1. Hassle-Free Rentals
   Motoshare offers a simple and efficient way to rent vehicles, saving you time and effort.
2. Local Insights
   Renting directly from Meerut’s residents gives you insider tips and recommendations.
3. Affordable Options
   Competitive pricing ensures you get the best value for your money.
4. Flexibility and Freedom
   Explore Meerut at your own pace without relying on public transport.
5. Eco-Friendly Travel
   Opt for electric bikes or cars to reduce your carbon footprint while exploring the city.
6. Trusted Service
   All vehicles on Motoshare are verified, ensuring quality and safety for renters.

Plan Your Meerut Adventure with Motoshare Today!

Meerut is a city full of stories, culture, and experiences waiting to be uncovered. With Motoshare’s bike and car rental services, you can explore every corner of this historic city with ease and convenience.

Ready to start your journey? Book your ride now:

• Car Rentals in Meerut
• Bike Rentals in Meerut

With Motoshare, every trip in Meerut becomes a memorable adventure.

The post The Best Rental Deals in Meerut Are on Motoshare appeared first on Artificial Intelligence.

In this blog, we are going to talk about Top IT companies in Jharkhand mostly in Bokaro and Ranchi.

Let’s begin –

1) Cotocus – Cotocus is a software company that deals with Digital innovations, Global consulting, and IT services.

 It is a Bangalore-based software development IT Company with a serious commitment to its client and communities with 5 products that resolve multiple problems in tech education, health care, professional services, Travel, and the digital domain.

It is one of the tops and best companies of Jharkhand that has branches in Bokaro, Ranchi, etc.

It provides services to IT domain projects, Digital domain projects, Tech domain projects, etc.

It has over 875+ clients.

2) HolidayLandmark – Holiday Landmark is a software IT Company that provides tour events at one of the best places to be toured.

It organizes events for you like day, date, time, and place to show you the places and make your day full of fun and one of the best moments of your life.

It provides a list of holiday categories to go as per choice and can fix your price and your tour events.

This facility is for everyone doesn’t matter from which country and state he/she is.

This software development company’s purpose is to provide you best and top places to make your days happy.

This facility is provided in all places like Bokaro, Ranchi (Jharkhand), etc.

3) Professnow – Professnow is software made by its company which is a software development company.

 It is a platform where anyone can find any professionals (Carpenter, Doctors, beautician, chef, Plumber, Mechanic, CA, Web designers, etc.) to make your daily chores or important work done.

This is one of the best or you can say the top place to find any professionals that are very difficult to find or you have to do so much hard work to find.

This is a very good initiative that has been taken by this IT Company.

This company is in so many cities like Bokaro, Ranchi (Jharkhand), Hyderabad, etc.

This app is available in Google and Apple Play store. This app provides the details of professionals like phone number, name, etc, to contact them and make them serve you.

4) DevOpsSchool – DevOpsSchool is one of the best and top companies that provides tech and software training to students and working professionals.

Basically, it provides the latest technologies training that is on-demand on IT companies and helps professionals to become perfect on their work ad could achieve something good in their life.

It deals with DevOps, DevSecOps, Site reliability engineering (SRE), AIOps, AI, Machine learning, GitOps, DataOps, and so many important toolsets and concepts to make people leverage all these and can do something good in their life.

There are so many benefits provided by this company during the training like Online and offline classes, completion certificates, video recordings, notes, PDFs, slides, projects, etc.

5) Wizbrand – Wizbrand is a software development IT Company that provides online digital marketing software like it has its own software name wizbrand.

This company is best in its work and provides top-class services that help organizations and millions of digital marketers in managing all digital marketing projects, assets, tasks, resources, track their progress and stay organized with a centralized workspace.

You just need to register, log in, create an organization, task assign, and assign the project to start your work.

You can collaborate online here and share your project plans.

SEO agencies, marketing teams, Sales teams, etc., are those who can use this software.

Some features of this software are Rank tracking, SEO audit, and crawl, website optimization, traffic monitoring.

This service is available in every place like Bokaro, Ranchi (Jharkhand), etc.

6) MARS TECHNO SOFT – Mars Techno Soft is an IT company that facilitates web development and Digital marketing.

This company is one of the best companies of Bokaro, Ranchi (Jharkhand).

It has helped so many companies in rebranding, redesigning, and getting to market to become a successful business.

This company was established in 2018 with a vision of delivering innovative and cost-effective solutions leveraging Open Source and hardware.

This company is popular in IT and software companies and also offers improved design for web, mobile, and tablet, hosting, maintenance, and support services.

7) Jharkhand IT Solutions – Jharkhand IT solutions is one of the best IT software companies that aims to provide top-quality designing, development, and marketing services to businesses across global.

This company is popular in Bokaro, Ranchi (Jharkhand), etc.

This is a master in Web designing, website redesigning, logo designing, Facebook land pages, Etc.

It has more than 300 clients whom they have served till now and has experience and expertise in providing the solutions online.

8) Wipenex IT Private Limited – Wipenex IT Company is known by MSME in prior and got registered on 28th December 2016 as it was founded in December 2010 but later transformed officially in Wipenex.

It operates as a programming and IT solutions provider.

Wipenex has vast of services to provide their customer such as Software Development, Website Development, ERP Implementation, Domain Registration, Web Hosting, Graphics Designing, SEO.

This company is in Bokaro, and Ranchi ( Jharkhand).

9) Horizon IT Consultancy Services Pvt. Ltd – Horizon is a software Development IT Company that has created so many portfolios to serve people.

This company is in Bokaro, Ranchi (Jharkhand) to serve their clients.

 It is an organization that delivers client-server solutions, standalone applications, Data conversion, Web-based software solutions, website designing, multimedia solutions, interactive product demos, IT consulting services, Software Development, search engine optimization, etc.

10) IT-SCIENT – IT-SCIENT is a Leading IT US company of information technology, consulting, and outsourcing company.

Basically, it helps IT organizations in operating more effectively and profitably by specialized staffing and project implementation products and services.

This company specializes in the field of Systems Integration/EAI, ERP Functionality Extension, Business/Data Warehousing, Sales Force Automation/CRM, and Custom Application Development for vertical markets comprising telecommunications, healthcare, financial services, insurance, and energy.

This company is found to be the best in its field at Bokaro and Ranchi (Jharkhand).

Conclusion

In this Blog, I have covered some top 10 best IT software companies that is in Bokaro and Ranchi ( Jharkhand) and all having a serious commitment to deliver their services to their clients, and all are master at their work.

The world is changing and the ratio of companies are also increasing in every place.

Bokaro and Ranchi both are main cities of Jharkhand where companies ratio’s are increasing day by day.

So, in this Blog we have covered some and is ending here, I will cover some more in my next Blog.

The post List of Top IT companies in Jharkhand appeared first on Artificial Intelligence.

MLOps, or machine learning operations, has become the new buzzword in the industry, is giving rise to new job roles, and businesses are deriving insane results after implementing it.

Currently, we are in a position where every other company is trying to incorporate AI and ML technologies into their products or services. The increased use of disruptive technologies in businesses has led to new developments that ensure better results. One such innovation is this engineering discipline called MLOps.

MLOps is the discipline of AI model delivery. It includes all the capabilities that data science, product teams, and IT operations have to deploy to secure machine learning and other probabilistic models in production. Machine learning operations combine the practice of using AI/ML with the principles of DevOps to represent an ML life cycle that exists alongside the software development life cycle for more efficient workflow and accurate results.

Benefits of using MLOps in business operations

• Ensures a secure business: MLOps can maintain the security of the enterprise through role-based access controls across different platforms for users, data, models, and resources to ensure efficient delivery of results.

• Enhance the productivity of the teams: MLOps integrates the business workflows and tooling systems to provide clear roles and reduce wasted time and hurdles between operations. It allows users to have constant access to monitor and report on current projects to make informed decisions beforehand.

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• Manage infrastructure: It systematically manages computation resources across different models to meet business goals and also ensures cost-effective operations. MLOps can be deployed on-premises, in the cloud, or in a hybrid environment.

• Risk assessment: Assessing the risks and the cost of failures is an important step to consider while doing business. This technology rightfully intercepts the financial damages done or might happen in the future to prevent further losses.

• Bridges communication gaps: A communication gap between the technical and the business teams are a common issue in several companies. The teams find it hard to come to terms with a common language to collaborate forces. MLOps bridges these gaps and ensures efficient communication for timely deliveries.

The best tools to use while deploying MLOps in businesses

• DVC: Data Control Vision, or DVC, is an open-source platform for machine learning projects. It is an experimentation tool that helps the users define their data pipeline, irrespective of the programming language they use. This platform can handle versioning and organizing extensive amounts of data and store them in a structured manner.

• Amazon Sagemaker: This tool enables developers and data scientists to easily build, train, and deploy machine learning models at any level. It is a cloud-based system that eliminates all barriers that slow down developers interested in machine learning practices.

• Pachyderm: It is a platform that combines data lineage with end-to-end data pipelines. It is available in three versions, sufficing the needs of individual users, the ones working in teams, and for large-scale organizational users.

• Polyaxon: It is a platform for producing and managing the entire life cycle of machine learning and deep learning projects. This tool can be deployed into any data center or a cloud provider, which is managed by Polyaxon. When it comes to the orchestration of projects, this tool provides the best services.

• Neptune: Neptune is a metadata store that is built for research and production teams that run ML experiments. Data versioning, experiment tracking, and registry allow this tool to act as a connector between different parts of the MLOps workflow.

The post MLOPS- EVERYTHING YOU NEED TO KNOW TO GET THE BEST RESULTS appeared first on Artificial Intelligence.

The Python programming language has been in the game for so long, and it is here to stay.

Artificial intelligence projects are different from traditional software projects. The difference lies in the technology stack, the skills required for AI-based projects, and the need for in-depth research. To implement AI aspirations, you need to use a programming language that is stable, flexible, and has available tools. Python provides all of these, which is why we see many Python AI projects today.

Python facilitates developers to increase the confidence and productivity about their developing software from development to deployment and maintenance. The benefits of making Python the perfect solution for machine learning and AI-driven projects include simplicity and consistency, flexibility, access to powerful AI and machine learning (ML) libraries and frameworks, platform independence, and large communities. These things increase the popularity of the language.

A great library ecosystem

A good selection of libraries is one of the main reasons why Python is AI’s most popular programming language. A library is a module or group of modules released from different sources (PyPi). It includes a pre-written code segment that allows a user to use a particular function or perform various operations. The Python library provides base-level items, so developers do not have to write code from scratch every time.

Machine learning requires continuous data processing, and Python libraries allow you to access, process, and transform your data. These are some of the most extensive libraries available for AI and ML.

• Scikit-learn to handle basic ML algorithms such as clustering, logistic and linear regression, regression, and classification.
• Pandas are used for advanced structure and data analysis. It allows you to merge and filter data and collect data from other external sources (such as Excel).
• Keras is used for deep learning. In addition to the computer’s CPU, it also uses the GPU, allowing rapid calculations and prototyping.
• TensorFlow is used to manipulate deep understanding by building, training, and using artificial neural networks using substantial data sets.

Platform independence

Python is easy to use, learn, and it is versatile too. It means that Python, which is used to develop machine learning, can run on all platforms, including Windows, Linux, Unix, macOS, and 21 others. To shift the process from one platform to another, developers implement some minor changes and modify a few lines of code to create executable code for the selected platform. Developers can use software packages such as PyInstaller to prepare code to run on different platforms. That saves time and money on testing across other platforms and makes the process easier and more convenient.

Simple and Consistent

Python code is easy to understand and read. ML and AI support complex algorithms and common workflows, but Python’s ease of use allows developers to create reliable systems. Developers do not need to spend energy and time on language technicalities but can find Machine Learning problems. Another reason that attracts developers to use Python is its simplicity and ease of learning. Python is written with simple code and can easily create models for machine learning.

For some programmers, the great advantage of Python is that it is more intuitive than other programming languages. Different features, various web frameworks, libraries, and Python functionalities that simplify applications are advantageous. Python seems to be an excellent place to collaborate when several developers participate in a project. It is a universal language that can perform many complex machine learning tasks. Developers can quickly develop a prototype and test their products for machine learning purposes.

Good visualization options

We have mentioned that Python comes with many libraries, some of which are great visualization tools. However, AI developers need to point out that it is vital to represent data in a human-readable format in AI, deep learning, and machine learning.

Libraries such as Matplotlib enable data scientists to create histograms, graphs, and plots to improve understanding, display, and data visualization. Different application programming interfaces simplify the visualization process and help make clear reports.

A low entry barrier

There is a shortage of programmers around the world. Python is easy to learn a language – the barriers to entry are very low. Multiple data scientists can learn Python quickly to participate in machine learning projects. Believe it or not, Python is so similar to English that it’s easy to understand. Thanks to the simple phrase structure, you can confidently use complex systems.

Massive Community Support

Python has a large user community worldwide, and these communities are always helpful when coding errors occur. In addition to a large group of supporters, it also has multiple communities, forums, and groups where programmers can post questions about language to help each other. Having an active developer community is very useful for solving coding errors. These groups and communities include Python.org, GitHub, and Stack Overflow.

Versatility

Python is easy to use and supports various libraries and frameworks, making the language more versatile. However, it works in two categories.

1. Web development
2. Machine learning

One could say that there are multiple other appliances where Python cannot stand. For instance, it may be tough to program hardware-level or operating systems applications in it, and it can be challenging to provide this language to the SPA front end. However, it works very well on the backend.

Readability

Python is easy to read and understand, so Python developers have no problem understanding, modifying, copying, or pasting peer code. There is no confusion, errors, or inconsistent paradigms when using Python. That facilitates the efficient exchange of algorithms, tools, and ideas between AI and machine learning professionals. Tools like IPython provide other features like testing, debugging, and tab completion to simplify your workflow. That is why Python’s machine learning portfolio is the future of programming.

Growing popularity

Python is becoming the most common programming language in the world. It is the choice of many well-known brands (such as Google, Amazon, Quora, Facebook, and Netflix) because of its simplicity, versatility, and ease of maintenance. They are usually used for some of the most exciting and innovative technologies, such as artificial intelligence, machine learning, and robotics.

Python is in high demand in universities, and it has become the most popular introductory language. It is learned by skilled developers who want to expand their skill set. More and more companies and people are using Python. More resources have been created around it to help developers complete complex tasks without encountering coding problems.

Conclusion

AI, DL, and ML have a massive impact on the world we live in, and new solutions emerge every day. Businesses know there is no better time to invest in these technologies. Therefore, learning Python takes hours of work to build applications and systems. Given all the advantages of Python over other programming languages. it is clear which programming language to choose for AI, DL, and ML.

The post Why Python is Best for AI, ML, and Deep Learning appeared first on Artificial Intelligence.

Thanks to the exponential growth of malware, traditional heuristics-based detection regimes have been overwhelmed, leaving computers at risk. Machine learning approaches can help, but the bottleneck presented by the feature engineering step is a potential dealbreaker. The best path forward at this point is deep learning, says the CEO of Deep Instinct, which claims to have taken an early lead in the emerging field.

Ten years ago, the cybersecurity industry faced a dilemma. The volume of malware was exploding, with tens of thousands of new types discovered every day. Traditional antivirus products, which were evolving from rudimentary signature-based methods to slightly more advanced heuristics-based approaches, were struggling to keep up.

Classical machine learning approaches, with its potential to automate the identification of anomalies hidden amid vast amounts of incoming bytes, offered a potential path forward. Many security software vendors added machine learning capabilities to their traditional heuristics-based antivirus engines, with the hope of catching more malware before it infected systems.

Progress was being made, but data volumes kept growing at a geometric rate. Today, security firms estimate there are anywhere from 500,000 to 700,000 new malware types identified per day. Keeping up with that analytical workload is stressing both humans and machines, says Guy Caspi, CEO of Deep Instinct.

The biggest problem with traditional machine learning approaches is feature engineering, Caspi says. In order to train the machine learning model to identify new malware types, human analysts are needed to identify the features of the new malware.

“This is the [reason] most of the machine learning companies need to update 15 to 20 times a day,” Caspi tells Datanami. “It’s almost Mission Impossible to digest all these processes. This is why you see a ransomware pandemic. They can’t stop malwares that are coming with the ransomware.”

Zero-Day Advantage

In 2015, Caspi and his colleagues, Eli David and Nadav Maman, co-founded Deep Instinct with the idea to use emerging deep learning approaches to bolster cybersecurity. With deep learning, the malware detection regime goes further up the abstraction stack. Instead of looking for specific snippets of malware code or other approaches that demand an exact match, deep learning takes a more generalized approach, which allows it to spot zero-day threats at a much higher rate than other approaches, the company says.

“It’s very flexible because deep learning is imitating the way our brain is thinking,” Caspi says. “Deep learning is working directly on the raw bytes. You just throw all the data on the brain and it learns. It learns because the data has been labeled in advance.”

Caspi uses the familiar example of identifying cats and dogs to explain the difference between traditional machine learning and novel deep learning approaches.

“If I give you a picture of a cat or a dog that you’ve never seen, you will still have the understanding that this is a dog and this is a cat. The reason for that is you have been exposed to hundreds of dogs and cats,” Caspi says. “If you go to the machine learning, it will tell you, this is dog and this is the breed of the dog. If you send it a different dog, it will say, what is this? So this is the difference between machine learning and deep learning.”

As Caspi mentioned, there is a catch to deep learning: the need to label the data in advance. This poses a substantial challenge, and is something that the Deep Instinct team spent years addressing. The company developed an automated pre-processing step that can account for the large differences in the raw data used for training the deep learning model.

Humans still play a role in the deep learning loop at Deep Instinct, which has over a dozen PhD-level data scientists trained in deep learning. But since humans aren’t needed to perform the feature engineering step required for daily updates to end point software, the role humans play is not as time-critical. Because its deep learning model essentially is continuously learning and refining its definition of malware based on billions of samples gleaned from malware repositories, such as MITRE ATT&CK, Deep Instinct only needs to update the inference algorithm that implements new attack vectors twice per year, Caspi says.

Solid Growth

The last time we visited with Deep Instinct, the company had just a handful of customers. But business has blossomed since then, thanks in large part to an OEM deal with HPE that has accounts for about a million end points. All told, the company today has more than 2,500 paying customers and is protecting more than 3 million end points, including PCs, mobile phones, and other devices, Caspi says.

We’re currently in a state of upheaval and change in the cybersecurity market, with trusted names like Symantec and McAfee out of the picture. Malware detection regimens that are based on heuristics alone are badly outmatched by the malware makers, who are using automation to crank up production of their horrible products and overwhelm outdated defenses. The standard bearer in the market today are machine learning-based approaches, according to Caspi, but even they’re struggling to keep up. That leaves Deep Instinct and a handful of other vendors treading the deeper neural network waters.

Caspi is clearly proud of what his team has accomplished at Deep Instinct, which in April completed a $100-million Series D round of funding led by BlackRock, and which is also financially backed by Samsung, LG, and NVIDIA.

“I think it’s game-over,” Caspi says. “It’s not 100% bulletproof. But if you see our results, it’s by an order of magnitude better than any other vendor in the market, prevention-wise. I can tell you that in the last six months, big venders when they hear that there is a POC with Deep Instinct, they don’t want to compete.”

Deep Instinct has received five patents for its software, Caspi says. The barrier to entry in applying deep learning to cybersecurity is quite steep, which gives Deep Instinct a decided advantage, even over the tech giants, he says.

“There are no people in the world in this domain. It’s still a very, very small domain,” he says. “There is a huge amount of other problems that do not exist almost in any other domain….and they exist in cyber security because in cyber security, it’s a mess. It’s a huge amount of data, very complex.”

Caspi suggested the barrier to entry was too great even for Google, which he says tried to use TensorFlow to create a malware detection engine. “It’s great for convolutional neural networks, if you want to do computer vision. For medical application, that’s great,” he says. “If you want to have something like cybersecurity, which has thousands of different parameters and not just three, it’s Mission Impossible. And you have to do it in runtime.”

The recent Solar Winds hack provided a handy test case for Deep Instinct. None of the customers using its software were compromised by the attack, Caspi says. Only Deep Instinct and Palo Alto Networks were able to make that claim, he says.

Looking forward, Deep Instinct plans to ramp up its sales and marketing initiatives with the $100 million Series D round. The company may have another round of funding before going public, Caspi says.

The post Deep Learning Is Our Best Hope for Cybersecurity, Deep Instinct Says appeared first on Artificial Intelligence.

These data science courses are offered by reputed tech universities.

In the current technological world, data science is one of the most in-demand skills. Companies across industries are leveraging data science capabilities to gain a competitive edge and make sense of the pools of data that are available as resources. Owing to the massive industry demand, data science is also becoming a lucrative career option for individuals who want to enter the tech world.

If you are a beginner who wants to pursue this route, there are several online courses (free and paid) that will teach you the basics and the required skills to do a commendable job. Here’s an article by Analytics Insight that highlights the best courses for beginners. If you are an experienced professional, it’s a good idea to polish your skills and get updated with the changing demands of this field. To help you find the right intermediate-level courses free of cost, here are our recommendations for you.

• FOR AMATEURS: BEST DATA SCIENCE COURSES FOR BEGINNERS IN 2021
• TOP 6 ONLINE DATA SCIENCE COURSES TO WATCH OUT IN 2021
• TOP DATA SCIENCE COURSES THAT FIT YOUR BUDGET RIGHT

1. Principles, Statistical and Computational Tools for Reproducible Data Science

Provided by Harvard University, this is an online course that will teach you skills and tools that support data science and reproducible research. If you have a hard time visually representing your findings, this course will help you do thorough research, reproduce it, and communicate it to the team efficiently. The duration of this course is for eight weeks and you can learn for free till September 15, 2021.

2. Big Data Analytics using Spark

This online course by UC San Diego is a part of its MicroMasters program. Essential for analyzing big data sets that require the use of distributed file systems like Hadoop and Spark, this course will teach to look for bottlenecks in massive parallel computation and how to use spark to minimize these bottlenecks. Through this, you will gain hands-on experience using PySpark within the Jupyter notebooks environment.

3. Data Analysis: Statistical Modeling and Computation in Applications

Offered by MITx, this course will start with a review of common statistical and computational tools such as hypothesis testing, regression, and gradient descent methods. You will study common models and methods to analyze specific types of data in four different domain areas, Epigenetic Codes and Data Visualization, Criminal Networks and Network Analysis, Prices, Economics and Time Series, and Environmental Data and Spatial Statistics.

4. Machine Learning with Python: from Linear Models to Deep Learning

In another course offered by MITx, here, you will learn about the principles and algorithms for converting training data into effective automated predictions. Topics like representation, over-fitting, regularization, generalization, VC dimension, clustering, classification, reinforcement learning, online algorithms, etc. will be covered. You will also implement and experience the algorithms in many Python projects designed for practical application.

5. Data Analytics for Business

Presented by Georgia Tech University, this course prepares students to understand business analytics and become leaders in these areas in business organizations by using scientific processes of transforming data into insights for making better business decisions. From methodologies, issues to challenges related to analyzing business data, this course will teach you how to apply business analytics algorithms and methodologies to solve business problems.

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Data science courses are high in demand. A data scientist needs to interpret the data accurately because he/she is responsible to communicate the complexity of the topic to the target audience in easiest ways.

Data science courses are very high in demand in the recent times. At least 88% of the Data Scientists hold Master’s degree and 46% are PhDs. While there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist.

To become a data scientist, you can opt for a Bachelor’s degree in Computer science, Social sciences, Physical sciences, and Statistics. The most common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%) and Engineering (16%). A degree in any of these courses will give you the skills you need to process and analyze big data.

According to a research by LinkedIn, the supply of workers with the correct skills isn’t sufficient, thus making data science skills among the most in-demand. Thankfully, there are plenty of online learning opportunities available today to help become a highly-skilled data scientist.

Below are a few of the most popular data science options:

IntelliPaat’s Data scientist Master’s program in collaboration with IBM: This training program offered in collaboration with IBM lets learners gain proficiency in Data Science with Python, Machine Learning, AI, Deep Learning, Big Data Hadoop, Spark, Tableau Desktop, etc with 24*7 support. This program comprises 10+ courses, 53+ industry-specific projects, and 232 Hours of online instructor-led training with a CAPSTONE project. Learners will get access to the IBM course and earn a certificate from IBM.

The best part of this course is that learners have lifetime access to attend multiple batches and keep themselves abreast with technology updates. This course also provides career assistance which includes resume preparation, mock interviews.

GreatLearning Data Scientist program in collaboration with Great Lakes: Designed for freshers and young professionals exploring rewarding careers in Data Science. With Python, SQL, Tableau, Data Science and Machine Learning tools & techniques and its applications. They teach through immersive lectures delivered by our expert faculty in a classroom. Great Lakes faculty have been ranked among India’s Top Data Science academicians.

UpGrad Data Scientist Masters program in collaboration with Liverpool John Moores University: Any specialization can be chosen regardless of background. The program caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals. They teach Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc

Simplilearn’s Data Scientist Master’s Program in Collaboration with IBM: This course offered in joint collaboration introduces students to integrated blended learning, equipping them with expertise in both Artificial Intelligence and Data Science. This advanced course in Data Science will make students industry-ready for skills in Artificial Intelligence and Data Science and consequently render them job-ready. This Data Science certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

 
Coursera Data Scientist Program in collaboration with Johns Hopkins University: In this course you will get an introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

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The classrooms in present era are not only expanding to use more technologies and digital tools but they are also engaging in machine learning

Technology in the classroom is becoming more and more popular as we pass through the 21st century. Laptops are replacing our textbooks, and on our smart phones, we can study just about everything we want. Social media has become ubiquitous, and the way we use technology has changed the way we live our lives fully.

Technology has become the core component of distance education programs. It enhances teachers and students to digitally interconnect and exchange material and student work, retaining a ‘human link’, which is important for the growth of young minds. Enhanced connections and customized experience can allow educators to recognize opportunities for learning skills and enhance the potential of a student.

Hence, the classrooms in present era are not only expanding to use more technologies and digital tools but they are also engaging in machine learning.

Machine learning is an artificial intelligence (AI) element, which lets machines or computers learn from all previous knowledge and make smart decisions. The architecture for machine learning involves gathering and storing a rich collection of information and turning it into a standardized knowledge base for various uses in different fields. Educators could save time in their non-classroom practices in the field of education by concentrating on machine learning.

For instance, teachers may use virtual helpers to work for their students directly from home. This form of assistance helps to boost the learning environment of students and can promote growth and educational success.

According to ODSC, “Last year’s report by MarketWatch has revealed that Machine Learning in education will remain one of the top industries to drive investment, with the U.S. and China becoming the top key players by 2030. Major companies, like Google and IBM, are getting involved in making school education more progressive and innovative.”

Use cases of Machine Learning in education

Analyzing all-round material

By making the content more up-to-date and applicable to an exact request, the use of machine learning in education aims to bring the online learning sector to a new stage. How? ML technologies evaluate the content of courses online and help to assess whether the quality of the knowledge presented meets the applicable criteria. On the other hand, know how users interpret the data and understand what is being explained. Users then obtain the data according to their particular preferences and expertise, and the overall learning experience increases dramatically.

Customized Learning

This is the greatest application of machine learning. It is adaptable and it takes care of individual needs. Students are able to guide their own learning through this education system. They can have their own speed and decide what to study and how to learn. They can select the topics they are interested in, the instructor they want to learn from, and what program they want to pursue, expectations and trends.

Effective Grading

In education, there is another application of machine learning that deals with grades and scoring. Since the learning skills of a large number of students are expressed in each online course, grading them becomes a challenge. ML technology makes the grading process a few seconds problem. In this context, we talk more about the exact sciences. There are places where teachers cannot be replaced by computers, but even in such situations, they can contribute to enhance current approaches of grading and evaluation.

According to TechXplore, “Researchers at University of Tübingen and Leibniz Institute für Wissensmedien in Germany, as well as University of Colorado Boulder, have recently investigated the potential of machine-learning techniques for assessing student engagement in the context of classroom research. More specifically, they devised a deep-neural-network-based architecture that can estimate student engagement by analyzing video footage collected in classroom environments.

They also mentioned that, “We used camera data collected during lessons to teach a deep-neural-network-based model to predict student engagement levels,” Enkelejda Kasneci the leading HCI researcher in the multidisciplinary team that carried out the study, told TechXplore. “We trained our model on ground-truth data (e.g., expert ratings of students’ level of engagement based on the videos recorded in the classroom). After this training, the model was able to predict, for instance, whether data obtained from a particular student at a particular point in time indicates high or low levels of engagement.”

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