Data Science in Context: Foundations, Challenges, Opportunities was written by a team of authors that included Alfred Spector of MIT and Peter Norvig of Google. We talked about their most recent book and tool, took a close look at their Data Science Analysis Rubric, and also covered some hot AI subjects like impending laws, synthetic data, large language models, and foundation models.
AI and Data Science in Context
Previous article
Next article
Youtube @blockgeni
Israel’s use of AI offers a terrifying glimpse at where warfare could be headed
05:55
The AI Revolution Is destroying Thousands of Languages
06:40
CEO of Ripple predicts crypto market reaching 5 Trillion this year
02:01
Microsoft and OpenAI are Planning a $100 billion Supercomputer
03:37
Crypto Options preferred by Goldman’s Hedge Fund Clients
03:20
New Guidelines on Government Use of AI
02:43
Are College AI Degree Programs Really Worth it ?
03:12
Sam Altman Wants Trillion Dollars to Transform the Chip and AI Business
04:31
China's 1st AI Child
01:37
How Blockchain is changing the Gaming industry
04:54