Data Science at Home 

Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3

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Title	Date published
Episode 46: why do machine learning models fail? (Part 2)	2018-09-04
Episode 45: why do machine learning models fail?	2018-08-28
Episode 44: The predictive power of metadata	2018-08-21
Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)	2018-08-14
Episode 42: Attacking deep learning models (rebroadcast)	2018-08-07
Episode 41: How can deep neural networks reason	2018-07-31
Episode 40: Deep learning and image compression	2018-07-24
Episode 39: What is L1-norm and L2-norm?	2018-07-19
Episode 38: Collective intelligence (Part 2)	2018-07-17
Episode 38: Collective intelligence (Part 1)	2018-07-12
Episode 37: Predicting the weather with deep learning	2018-07-09
Episode 36: The dangers of machine learning and medicine	2018-07-03
Episode 35: Attacking deep learning models	2018-06-29
Episode 34: Get ready for AI winter	2018-06-22
Episode 33: Decentralized Machine Learning and the proof-of-train	2018-06-11
Episode 32: I am back. I have been building fitchain	2018-06-04
Founder Interview – Francesco Gadaleta of Fitchain	2018-05-24
Episode 31: The End of Privacy	2018-04-02
Episode 30: Neural networks and genetic evolution: an unfeasible approach	2017-11-21
Episode 29: Fail your AI company in 9 steps	2017-11-11

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