Towards Data Science
En podcast av The TDS team
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Kategorier:
131 Avsnitt
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31. Russell Pollari - Building habits and breaking into data science
Publicerades: 2020-04-29 -
30. Interviewing the Medium data science team
Publicerades: 2020-04-22 -
29. Cameron Davidson-Pillon - Data science at Shopify
Publicerades: 2020-04-15 -
28. Emily Robinson - Building a Career in Data Science
Publicerades: 2020-04-07 -
27. Alayna Kennedy - AI safety, AI ethics and the AGI debate
Publicerades: 2020-03-30 -
26. Jeremy Howard - Coronavirus: the data behind the disease
Publicerades: 2020-03-20 -
25. Chris Parmer - Plotly founder on what data science is, and where it's going
Publicerades: 2020-03-18 -
24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence
Publicerades: 2020-03-10 -
23. Iain Harlow - Leaving academia for industry and optimizing how you learn
Publicerades: 2020-03-03 -
22. Luke Marsden - Data Science Infrastructure and MLOps
Publicerades: 2020-02-23 -
21. Adam Waksman - Data science is becoming software engineering
Publicerades: 2020-02-16 -
20. Chanchal Chatterjee - Real Talk with AI Leader at Google
Publicerades: 2020-01-30 -
19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium
Publicerades: 2020-01-25 -
18. Edouard Harris - Mastering the data science job hunt
Publicerades: 2020-01-15 -
17. Nate Nichols - Product instinct and data storytelling
Publicerades: 2020-01-07 -
16. Helen Ngo - Real Talk with Machine Learning Engineer
Publicerades: 2019-12-16 -
15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think
Publicerades: 2019-12-09 -
14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science
Publicerades: 2019-12-02 -
13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery
Publicerades: 2019-11-25 -
12. Rachael Tatman - Data science at Kaggle
Publicerades: 2019-11-06
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.