Towards Data Science
A podcast by The TDS team
Categories:
131 Episodes
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51. Adrien Treuille and Tim Conkling - Streamlit Is All You Need
Published: 16/09/2020 -
50. Ken Jee - Building your brand in data science
Published: 9/09/2020 -
49. Catherine Zhou - The data science of learning
Published: 2/09/2020 -
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products
Published: 26/08/2020 -
47. Goku Mohandas - Industry research and how to show off your projects
Published: 19/08/2020 -
46. Ihab Ilyas - Data cleaning is finally being automated
Published: 12/08/2020 -
45. Kenny Ning - Is data science merging with data engineering?
Published: 5/08/2020 -
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI
Published: 29/07/2020 -
43. Ian Scott - Data science at Deloitte
Published: 22/07/2020 -
42. Will Grathwohl - Energy-based models and the future of generative algorithms
Published: 15/07/2020 -
41. Solmaz Shahalizadeh - Data science in high-growth companies
Published: 8/07/2020 -
40. David Meza - Data science at NASA
Published: 1/07/2020 -
39. Nick Pogrebnyakov - Data science at Reuters, and the remote work after the coronavirus
Published: 24/06/2020 -
38. Matthew Stewart - Data privacy and machine learning in environmental science
Published: 17/06/2020 -
37. Sean Knapp - The brave new world of data engineering
Published: 10/06/2020 -
36. Max Welling - The future of machine learning
Published: 3/06/2020 -
35. Rubén Harris - Learning and looking for jobs in quarantine
Published: 27/05/2020 -
34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why.
Published: 20/05/2020 -
33. Roland Memisevic - Machines that can see and hear
Published: 13/05/2020 -
32. Bahador Khalegi - Explainable AI and AI interpretability
Published: 6/05/2020
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.