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ALTERNATE UNIVERSE DEV
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Data Science at Home
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Latest episodes
Why sharing real data is dangerous (Ep. 97)
Data Science at Home,
Mar 1 '20
Building reproducible machine learning in production (Ep. 96)
Data Science at Home,
Feb 22 '20
Bridging the gap between data science and data engineering: metrics (Ep. 95)
Data Science at Home,
Feb 14 '20
A big welcome to Pryml: faster machine learning applications to production (Ep. 94)
Data Science at Home,
Feb 7 '20
It's cold outside. Let's speak about AI winter (Ep. 93)
Data Science at Home,
Dec 31 '19
The dark side of AI: bias in the machine (Ep. 92)
Data Science at Home,
Dec 28 '19
The dark side of AI: metadata and the death of privacy (Ep. 91)
Data Science at Home,
Dec 23 '19
The dark side of AI: recommend and manipulate (Ep. 90)
Data Science at Home,
Dec 11 '19
The dark side of AI: social media and the optimization of addiction (Ep. 89)
Data Science at Home,
Dec 3 '19
More powerful deep learning with transformers (Ep. 84) (Rebroadcast)
Data Science at Home,
Nov 27 '19
How to improve the stability of training a GAN (Ep. 88)
Data Science at Home,
Nov 18 '19
What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)
Data Science at Home,
Nov 12 '19
Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)
Data Science at Home,
Nov 5 '19
[RB] How to generate very large images with GANs (Ep. 85)
Data Science at Home,
Nov 4 '19
[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)
Data Science at Home,
Oct 18 '19
What is wrong with reinforcement learning? (Ep. 82)
Data Science at Home,
Oct 15 '19
Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)
Data Science at Home,
Oct 10 '19
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)
Data Science at Home,
Oct 1 '19
[RB] How to scale AI in your organisation (Ep. 79)
Data Science at Home,
Sep 26 '19
Training neural networks faster without GPU [RB] (Ep. 77)
Data Science at Home,
Sep 17 '19
How to cluster tabular data with Markov Clustering (Ep. 73)
Data Science at Home,
Aug 21 '19
Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)
Data Science at Home,
Aug 14 '19
Validate neural networks without data with Dr. Charles Martin (Ep. 70)
Data Science at Home,
Jul 23 '19
Complex video analysis made easy with Videoflow (Ep. 69)
Data Science at Home,
Jul 16 '19
Episode 68: AI and the future of banking with Chris Skinner [RB]
Data Science at Home,
Jul 9 '19
Episode 67: Classic Computer Science Problems in Python
Data Science at Home,
Jul 2 '19
Episode 66: More intelligent machines with self-supervised learning
Data Science at Home,
Jun 25 '19
Episode 65: AI knows biology. Or does it?
Data Science at Home,
Jun 23 '19
Episode 64: Get the best shot at NLP sentiment analysis
Data Science at Home,
Jun 14 '19
Episode 63: Financial time series and machine learning
Data Science at Home,
Jun 4 '19
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