New & Notable
Data science platforms News
October 05, 2021
The tech vendor revealed a new partnership with AI GPU maker Nvidia at VMWorld 2021 aimed at providing an AI and machine learning platform for IT users in virtualized environments.
September 15, 2021
Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building.
August 18, 2021
Most data science initiatives don't produce value due to obstacles like poor data quality, but CNN senior lead of product analytics Bryce Macher has a plan for success.
June 22, 2021
Hewlett Packard Enterprise scoops up San Francisco-based startup to give customers out-of-the-box AI training models for use with high-performance computing systems.
Data science platforms Get Started
Bring yourself up to speed with our introductory content
A strong data science resume includes a variety of projects. Find out which data science project types employers are looking for and how to present them on your resume. Continue Reading
As companies realize the power of data, they're tasked with finding data science practitioners with AI and ML skill sets to help them use the data to make better business decisions. Continue Reading
Crypto-agility, or cryptographic agility, is a data encryption practice used by organizations to ensure a rapid response to a cryptographic threat. Continue Reading
Evaluate Data science platforms Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
The positions of data scientist and machine learning engineer are in high demand and are important for enterprises that want to make use of their data and use AI. Continue Reading
Numerous tools are available for data science applications. Read about 15, including their features, capabilities and uses, to see if they fit your analytics needs. Continue Reading
Manage Data science platforms
Learn to apply best practices and optimize your operations.
Maximizing the value of insights into your business, industry and competition requires a thoughtful, creative, experimental, incremental and team approach to deploying AI. Continue Reading
Building a viable, reliable and agile machine learning model that streamlines operations and bolsters business planning takes patience, preparation and perseverance. Continue Reading
Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
Problem Solve Data science platforms Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading
To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading