Towards Data Science
Podcast autorstwa The TDS team
Kategorie:
131 Odcinki
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31. Russell Pollari - Building habits and breaking into data science
Opublikowany: 29.04.2020 -
30. Interviewing the Medium data science team
Opublikowany: 22.04.2020 -
29. Cameron Davidson-Pillon - Data science at Shopify
Opublikowany: 15.04.2020 -
28. Emily Robinson - Building a Career in Data Science
Opublikowany: 7.04.2020 -
27. Alayna Kennedy - AI safety, AI ethics and the AGI debate
Opublikowany: 30.03.2020 -
26. Jeremy Howard - Coronavirus: the data behind the disease
Opublikowany: 20.03.2020 -
25. Chris Parmer - Plotly founder on what data science is, and where it's going
Opublikowany: 18.03.2020 -
24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence
Opublikowany: 10.03.2020 -
23. Iain Harlow - Leaving academia for industry and optimizing how you learn
Opublikowany: 3.03.2020 -
22. Luke Marsden - Data Science Infrastructure and MLOps
Opublikowany: 23.02.2020 -
21. Adam Waksman - Data science is becoming software engineering
Opublikowany: 16.02.2020 -
20. Chanchal Chatterjee - Real Talk with AI Leader at Google
Opublikowany: 30.01.2020 -
19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium
Opublikowany: 25.01.2020 -
18. Edouard Harris - Mastering the data science job hunt
Opublikowany: 15.01.2020 -
17. Nate Nichols - Product instinct and data storytelling
Opublikowany: 7.01.2020 -
16. Helen Ngo - Real Talk with Machine Learning Engineer
Opublikowany: 16.12.2019 -
15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think
Opublikowany: 9.12.2019 -
14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science
Opublikowany: 2.12.2019 -
13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery
Opublikowany: 25.11.2019 -
12. Rachael Tatman - Data science at Kaggle
Opublikowany: 6.11.2019
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.