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 ...

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 ...

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 ...

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 ...

“If your competitors are applying AI, and they’re finding insight that allow them to accelerate, they’re going to peel away really, really quickly,” Deborah Leff, CTO for data science and AI at IBM, ...

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 ...