Source – https://www.analyticsinsight.net/ No wonder, data science has emerged out to be the most sought-after profession. Obtaining insights from data, as data science is rightly defined, has proven to be no less than a blessing in almost every sector that one can think of. Making the best of data is what data scientists are expected Read More
Tag: Tools
Source – https://www.analyticsinsight.net/ Learn the best machine learning tools to efficiently build ML models With ever-growing data generation and its usage, the demand for machine learning models is multiplying. As ML systems encompass algorithms and rich ML libraries, it helps analyze data and make decisions. There is no wonder that machine learning is gaining more visibility as ML applications are dominating Read More
Source – https://searchapparchitecture.techtarget.com/ Building upon years of momentum, architects are well in the swing of transitioning from the monolith to microservices. Here are three of the top trends they’ll face in 2021. Throughout 2020, application architects sought new design methods and tools to help ease the transition from the monolith to a distributed architecture design Read More
Source: searchbusinessanalytics.techtarget.com Before implementing a new model, a data scientist must be sure they understand their data set. One method data scientists use to better understand their data and understand what model would work best for it is exploratory data analysis. Though there are many tools to employ in this process, the Python programming language offers some Read More
Source: newcivilengineer.com Data Science can look like an intimidating field to some, especially if you have just started your journey. What tool to learn? What techniques to focus on? Do you learn to code? How much statistics is required? There are several such questions that you will find answers during your journey. Here are some Read More
Source: techrepublic.com Organizations failing to adopt AI risk falling behind in their markets. Even without the budget for it, advancing the AI know-how in your organization must include democratizing AI so it can become the province of everyday operations, and not just data scientists. “‘Democratization’ can be a dirty word,” wrote blogger Chrissy Kidd in Read More
Source: searchenterpriseai.techtarget.com Fueled by the need to expand machine learning, cloud service providers are offering machine leaning as a service, together with extensive storage and processing options, to save time, money and resources. These tools now offer services spanning across model training, data processing, model evaluation and prediction making. Companies with a cloud-based infrastructure are starting to Read More
Source: techrepublic.com Altran has released a new tool that uses artificial intelligence (AI) to help software engineers spot bugs during the coding process instead of at the end. Available on GitHub, Code Defect AI uses machine learning (ML) to analyze existing code, spot potential problems in new code, and suggest tests to diagnose and fix the errors. Walid Negm, group chief Read More
Source: healthitanalytics.com Researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) have developed deep learning tools that can detect age-related macular degeneration (AMD), a leading cause of blindness in the US. In patients with AMD, the central area of the retina called the macula deteriorates, causing blurry vision that can worsen significantly over time. Read More
Source: analyticsindiamag.com As most workers in India make a harried transition to remote working amid Covid-19 lockdown, they are still getting acclimated to the modus operandi of freelancers. With only a handful of tools in their arsenal, freelance professionals master those tools, as a rule, to compete with full-time professionals as well as other gig Read More
Source: healthitanalytics.com Clinical decision support systems are essential for organizations aiming to advance healthcare delivery, helping physicians flag potential problems and make more informed choices. Although these tools can lead to more efficient, comprehensive patient care, clinical decision support systems have also come with significant challenges. Issues like clinician burnout and unintuitive interfaces have pushed Read More
Source: Some of the biggest challenges with data management and analytics efforts is security. Databricks, based in San Francisco, is well aware of the data security challenge, and recently updated its Databricks’ Unified Analytics Platform with enhanced security controls to help organizations minimize their data analytics attack surface and reduce risks. Alongside the security enhancements, new Read More
Source: rtinsights.com Almost every update by an operating system provider inevitably comes with new bugs. The recent Windows 10 update, published by Microsoft earlier this week, significantly slowed PC boot time. While most software developers test updates well in advance, publishing it to millions of different machines can lead to significant differences in how the software performs. Read More
Source: ciodive.com Like Spartan arrows blocking out the sun, imagine a slew of cyberattacks hitting a company’s defenses. Each attempt to breach through the gates symbolizes negative business outcomes. It’s a potentially unrecoverable wire transfer landing in an offshore account. It’s a trove of sensitive data sent to an impostor and sold in a corner of Read More
Source: plasticstoday.com Differentiation is the name of the game when marketing products to consumers. Differentiation’s mandatory companion is performance. Both of these are driven by creative individuals who use the latest technological tools to create viable, commercial packages that will deliver desired attributes all the way to their expiration date. However, there is room for Read More
Source: searchapparchitecture.techtarget.com In a microservices architecture, numerous small, independent services integrate as needed to form an application. As such, development teams must monitor every microservice, and the path through them, to ensure the application does what it is designed to do. This is where microservices testing tools enter the picture. To figure out how to Read More
Source: analyticsindiamag.com There are two fundamentally different and complementary ways of accelerating machine learning workloads: By vertical scaling or scaling-up, where one adds more resources to a single machine 2. By horizontal scaling or scaling-out, where one adds more nodes to the system In a recent work published by the researchers at Delft University of Technology, Netherlands, Read More
Souurce: law.com As a matter of practice, law firms generate and store incomprehensible amounts of data. Most, if not all, of that data has been digitized and many firms that recognize the untapped value of their data have begun to leverage sophisticated technologies to mine it for reusable work product and valuable insights. While most Read More
Source: techradar.com At the big AWS re: Invent 2019 conference, Amazon has revealed a new security tool for customers using its S3 cloud storage service, to help ensure that data put in the cloud, stays in the cloud, and isn’t leaked elsewhere by accident. The utility, called Access Analyzer, is for S3 (Amazon’s Simple Storage Service) and Read More
Source: searchbusinessanalytics.techtarget.com Data science tools now automate various pieces of the analytics process, from data preparation to model selection. And automation will only broaden the future scope of data science. According to most analytics and artificial intelligence experts, trends like augmented analytics will only increase the efficiency and reach of data science within the enterprise. Even with Read More
Source:- atechnologymarket.com This data mining tools market research report predicts the size of the market with information on key vendor revenues, development of the industry by upstream & downstream, industry progress, key companies, along with type segment & market application. All statistical and numerical data mentioned in the report is symbolized with the help of graphs and Read More
Source:- broadcastnow.co.uk NASCAR has selected AWS as its preferred cloud computing provider for machine learning and artificial intelligence processes. AWS Elemental MediaLive and AWS Elemental MediaStore are also being used to support NASCAR Drive, an app for subscribers that puts fans in the driver’s seat using in-car cameras, live audio and live leader boards. NASCAR Digital Read More
Source – forbes.com The Splunk platform is well-used by some of the biggest names in the industry when it comes to machine analytics. Today it announced that it is adding AI into the mix in its new release – Splunk IT Service Intelligence 3.0. The company already claims a 31.2% share of the IT operations analytics Read More