Overview: Practical projects show how data supports real decisions across industries and services.Analytics skills grow ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Purdue students in The Data Mine this year have been taking their skills outside of the classroom, working hand-in-hand with industry partners to tackle data-driven projects. Those undergraduate and ...