Super Data Science: ML & AI Podcast with Jon Krohn 342: History of Data Science - Part 2
Feb 21, 2020
Step into the 2000s as data science transforms into a recognized profession. Discover the clash between sci-fi visions of AI and the reality of technology's evolution. Learn about pivotal figures like William Cleveland and Leo Breiman, who argued for unifying analytics and computer science. Explore the boom of data science around 2008 and the emergence of crucial journals. Finally, witness the growing recognition of data scientists and their importance in shaping the field.
AI Snips
Chapters
Transcript
Episode notes
Science Fiction’s Overblown AI Promise
- Science fiction predicted sentient AI by 2001, but that expectation did not materialize by the 2000s.
- Jon Krohn highlights public fascination with robots like HAL 9000 and Sophia as cultural touchstones.
Foundations For A New Profession
- William Cleveland and Leo Breiman promoted merging computing and statistics into a new profession.
- Their work signaled a shift from stochastic statistical models to algorithmic, machine-learning approaches.
Algorithmic Models Became Dominant
- Leo Breiman advocated algorithmic models over classical stochastic approaches.
- Today, algorithmic models dominate modern data-science practice as he anticipated.