Towards Data Science 

Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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Title	Date published
50. Ken Jee - Building your brand in data science	2020-09-09
49. Catherine Zhou - The data science of learning	2020-09-02
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products	2020-08-26
47. Goku Mohandas - Industry research and how to show off your projects	2020-08-19
46. Ihab Ilyas - Data cleaning is finally being automated	2020-08-12
45. Kenny Ning - Is data science merging with data engineering?	2020-08-05
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI	2020-07-29
43. Ian Scott - Data science at Deloitte	2020-07-22
42. Will Grathwohl - Energy-based models and the future of generative algorithms	2020-07-15
41. Solmaz Shahalizadeh - Data science in high-growth companies	2020-07-08
40. David Meza - Data science at NASA	2020-07-01
39. Nick Pogrebnyakov - Data science at Reuters, and the remote work after the coronavirus	2020-06-24
38. Matthew Stewart - Data privacy and machine learning in environmental science	2020-06-17
37. Sean Knapp - The brave new world of data engineering	2020-06-10
36. Max Welling - The future of machine learning	2020-06-03
35. Rubén Harris - Learning and looking for jobs in quarantine	2020-05-27
34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why.	2020-05-20
33. Roland Memisevic - Machines that can see and hear	2020-05-13
32. Bahador Khaleghi - Explainable AI and AI interpretability	2020-05-06
31. Russell Pollari - Building habits and breaking into data science	2020-04-29

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