Bangalore, the bustling hub of culture, technology, and greenery, beckons travelers with its dynamic charm. Exploring this vibrant city gets even better with Motoshare, a platform that redefines bike and car rentals. With just a few clicks, you can seamlessly book a vehicle directly from trusted vehicle owners and embark on your Bangalore adventure.

Whether you’re planning a day trip to the serene Nandi Hills, zipping through the city’s tech corridors, or navigating its iconic markets, Motoshare ensures your journey is smooth and stress-free.

• Book your Car Rental in Bangalore: https://motoshare.in/bangalore/car-rentals
• Book your Bike Rental in Bangalore: https://motoshare.in/bangalore/bike-rentals

Top 10 Places to Visit in Bangalore After Renting with Motoshare

Maximize your Bangalore experience with this curated list of must-visit destinations:

1. Lalbagh Botanical Garden
   • Best Time: Early morning for a tranquil experience.
   • Why Visit: Witness the beauty of rare plants and the iconic glasshouse.
2. Bangalore Palace
   • Best Time: Late morning for guided tours.
   • Why Visit: Dive into regal history with its stunning architecture and lavish interiors.
3. Cubbon Park
   • Best Time: Morning for a refreshing stroll or cycling adventure.
   • Why Visit: Ideal for families, joggers, and nature enthusiasts.
4. Nandi Hills
   • Best Time: Sunrise for a breathtaking view.
   • Why Visit: Perfect for biking enthusiasts and nature lovers seeking a serene getaway.
5. MG Road and Brigade Road
   • Best Time: Evenings for shopping and nightlife.
   • Why Visit: The ultimate destinations for shopaholics and foodies.
6. ISKCON Temple
   • Best Time: Early morning for peaceful prayers.
   • Why Visit: Known for its tranquility and grand architecture.
7. Bannerghatta National Park
   • Best Time: Morning for safaris and zoo visits.
   • Why Visit: A great escape for wildlife enthusiasts.
8. Innovative Film City
   • Best Time: Anytime during operational hours.
   • Why Visit: A mix of fun, film, and adventure for the whole family.
9. UB City Mall
   • Best Time: Evenings for fine dining and luxury shopping.
   • Why Visit: Experience high-end shopping and gourmet restaurants.
10. Vidhana Soudha
    • Best Time: Evening for a well-lit view.
    • Why Visit: A symbol of Bangalore’s administrative pride and an architectural marvel.

Why Choose Motoshare for Bike and Car Rentals in Bangalore?

1. Seamless Online Booking
   • Experience a hassle-free rental process with Motoshare’s intuitive platform.
2. Wide Range of Vehicles
   • From sleek cars to stylish bikes, Motoshare offers a diverse fleet tailored to your needs.
3. Affordable Pricing
   • Competitive rates make your travel budget-friendly without compromising quality.
4. Direct from Vehicle Owners
   • Rent with confidence, knowing you’re getting well-maintained vehicles directly from trusted owners.
5. Flexible Rental Options
   • Choose rentals by the hour, day, or even longer to suit your schedule.
6. Transparent Policies
   • No hidden charges—everything is upfront and customer-centric.
7. 24/7 Support
   • Dedicated customer service ensures help is just a call away whenever you need it.

Book Your Motoshare Ride Today

With Motoshare’s user-friendly platform, exploring Bangalore has never been this simple. Plan your next adventure and enjoy the freedom of choosing reliable bikes or cars that fit your style and travel plans.

👉 Start your journey now:

• Bike Rentals in Bangalore
• Car Rentals in Bangalore

Transform your Bangalore experience with Motoshare and make every moment on the road memorable!

The post Why Motoshare Is the Best Choice for Bike and Car Rentals in Bangalore appeared first on Artificial Intelligence.

Amazon India has notified of a data science internship available in Bangalore, Karnataka. Applications have been invited for the same from candidates with an academic and/or practical background in computer science, engineering, operations research, or process control. Selected interns will be required to optimize one of the most complex logistics systems in the world, says the company.

Who can Apply for Data Science Internship in Amazon India

Candidates pursuing their Masters or equivalent advanced degree in computer science, computer engineering, statistics, mathematics or related technical discipline, and with the following experience can apply for the data science internship:

• Academic experience in manipulating or transforming data, model selection, model training, cross-validation and deployment at scale.
• Academic or project experience with machine and deep learning toolkits.
• Academic experience with big data platforms like Apache Spark and Hadoop.
• Familiarity with data processing with Python, R and SQL.
• Familiarity with AWS services related to artificial intelligence and machine learning, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3 and EC2 Container Service, Green Grass and so on.

Candidates will also have to be fluent in written and spoken English, should have excellent communication and data presentation skills, and should also have a strong working knowledge of Excel and Microsoft Office skills.

Responsibilities that Selected Candidates will have to Fulfill at Amazon India

Some of the major responsibilities include:

• Using data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making.
• Identifying predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction.
• Identifying, developing, managing, and executing analyses to uncover areas of opportunity and present written business recommendations.

Interested candidates will have to apply using their Amazon account. Candidates who wish to apply are advised to visit the official website for more information.

The post Amazon India Invites Applications for Data Science Internship in Bangalore: Check Details appeared first on Artificial Intelligence.

Great Learning is inviting applications for a Master’s program in Data Science and Machine Learning, in partnership with PES University. The ‘MTech in Data Science and Machine Learning’ is 21-month long and has been designed by industry experts and faculty from Great Learning and will be delivered at PES University’s Electronic City campus in Bangalore.

The program will enable participants to gain in-depth understanding of data science and machine learning techniques and tools like Python, SQL, Tableau and Hadoop that are being widely used by industry today. The program blends academic learning and industry exposure through industry internships, capstone projects and dissertation.

The MTech in Data Science and Machine Learning is offered in two modes – Full time and Executive (weekend classes). The participants of the inaugural batch are from companies Accenture, Deloitte, HCL, Oracle, Jindal Steel, Goldman Sachs, etc.

Upon successful completion of the program, students will receive their MTech degree from PES University as well as placement assistance from Great Learning. Great Learning has partnered with over 300 companies and as a result, alumni from Great Learning programs work with some of India’s leading corporates and startups like EXL and EY.

According to recent estimates, India is all set to become one of the top three markets for Data Science by 2020 with over 2.7 million job vacancies. The job roles that are in demand in the sector include Data Scientists, Machine Learning Engineers, Data Analysts and Analytics Consultants. The average salary being offered for beginners is around Rs. 6 lakh per annum.

Speaking about the partnership, Hari Krishnan Nair, Co-founder, Great Learning said: “We are excited to partner with a top ranked university like PES to offer a Masters’ degree program in Data Science and Machine Learning. Every company that we are engaged with is looking to hire Data Science and Machine Learning talent but there is a massive shortfall in the availability of skilled talent to fill in these vacant jobs. Through our partnership with PES University, we aim to open the doors for all those who are interested in a career in data science through a high quality M Tech program. This program will equip the learners with the latest skills and ensure they are job ready by the time they complete the program.”

The post Great Learning, PES University launch MTech in Data Science and Machine Learning appeared first on Artificial Intelligence.