Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Discover five reliable sources where you can access diverse and high-quality data sets for free, fueling your next data-driven project. When working on a data-driven project, finding reliable and high ...

Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...

Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge, as ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

These days, most people are aware of both the buzz and consternation that has accompanied any discussion of artificial intelligence (AI) within recent months. Like any technology, AI has a learning ...

This year’s Citizen Science Month may be winding down at the end of April, but you can help researchers collect and analyze their data all year long. This week, citizen science platform Zooniverse has ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. When I was a kid, science was one of my favorite subjects. I loved ...