Martin Goodson | Practical Data Science & The UK's AI Roadmap
#ai #datascience #startups
Martin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap & responses to the document by members of the Royal Statistical Society. In particular, Martin describes the disconnect between the priorities of AI startups and industry practitioners on one side, and government and academia on the other. Martin also outlines which skills early career data scientists should focus on while in school versus after entering the workforce.
Also available on....
YouTube: https://youtu.be/T9qRl6Hclhg
Topic List
0:00 COMING UP: Scientific culture & AI
1:25 The UK AI Roadmap
8:44 Who is a data science “practitioner”?
12:53 Data science in AI startups
20:36 Is there a disconnect between practitioners & academia?
25:09 Key skills for new data science graduates
32:03 Coding & production level data science
39:30 Learning the right data analysis skills at the course-level.
45:32 AI leadership
58:40 AI from academia & OpenSource initiatives
1:05:37 Large institutions' impact on the AI field
1:08:24 Back to the UK AI roadmap
1:12:16 Building an AI community
1:13:15 AI in our lifetime: Moonshots & realistic goals
1:14:31 Scientific debate
David Dunson | Advancing Statistical Science | Philosophy of Data Science
Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks
Jason Costello | Data Science vs Software, Academia vs Industry
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
Edward McFowland III | Anomalous Pattern Detection & Model Building
Data Science Job Search | Advice + Q&A
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
Kristin Morgan | The Data Science of Sports Injury
Michael McRoberts | Football Analytics and Data-Driven Decisions
Andrew Gelman & Megan Higgs | Statistics’ Role in Science and Pseudoscience
Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
Science vs Pseudoscience | Dien Ho | Philosophy of Data Science
New Science vs Pseudoscience Series (+ Renaming the Podcast)
Environmental Data Science | Career Q&A
Data Science Career Q&A for Undergrads
Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton
Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods
Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science
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