Data Science at Home 

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Title	Date published
Bridging the gap between data science and data engineering: metrics (Ep. 95)	2020-02-14
A big welcome to Pryml: faster machine learning applications to production (Ep. 94)	2020-02-07
It's cold outside. Let's speak about AI winter (Ep. 93)	2019-12-31
The dark side of AI: bias in the machine (Ep. 92)	2019-12-28
The dark side of AI: metadata and the death of privacy (Ep. 91)	2019-12-23
The dark side of AI: recommend and manipulate (Ep. 90)	2019-12-11
The dark side of AI: social media and the optimization of addiction (Ep. 89)	2019-12-03
More powerful deep learning with transformers (Ep. 84) (Rebroadcast)	2019-11-27
How to improve the stability of training a GAN (Ep. 88)	2019-11-18
What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)	2019-11-12
Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)	2019-11-05
[RB] How to generate very large images with GANs (Ep. 85)	2019-11-04
More powerful deep learning with transformers (Ep. 84)	2019-10-27
[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)	2019-10-18
What is wrong with reinforcement learning? (Ep. 82)	2019-10-15
Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)	2019-10-10
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)	2019-10-01
[RB] How to scale AI in your organisation (Ep. 79)	2019-09-26
Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)	2019-09-23
Training neural networks faster without GPU [RB] (Ep. 77)	2019-09-17

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