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 29: Fail your AI company in 9 steps	2017-11-11
Episode 28: Towards Artificial General Intelligence: preliminary talk	2017-11-04
Episode 27: Techstars accelerator and the culture of fireflies	2017-10-30
Episode 26: Deep Learning and Alzheimer	2017-10-23
Episode 25: How to become data scientist [RB]	2017-10-16
Episode 24: How to handle imbalanced datasets	2017-10-09
Episode 23: Why do ensemble methods work?	2017-10-03
Episode 22: Parallelising and distributing Deep Learning	2017-09-25
Episode 21: Additional optimisation strategies for deep learning	2017-09-18
Episode 20: How to master optimisation in deep learning	2017-08-28
Episode 19: How to completely change your data analytics strategy with deep learning	2017-08-09
Episode 18: Machines that learn like humans	2017-03-28
Episode 17: Protecting privacy and confidentiality in data and communications	2017-02-15
Episode 16: 2017 Predictions in Data Science	2016-12-23
Episode 15: Statistical analysis of phenomena that smell like chaos	2016-12-05
Episode 14: The minimum required by a data scientist	2016-09-27
Episode 13: Data Science and Fraud Detection at iZettle	2016-09-06
Episode 12: EU Regulations and the rise of Data Hijackers	2016-07-26
Episode 11: Representative Subsets For Big Data Learning	2016-05-03
Episode 10: History and applications of Deep Learning	2016-03-14

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