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Data Science at Home

Latest episodes

Why sharing real data is dangerous (Ep. 97)

Why sharing real data is dangerous (Ep. 97)

Data Science at Home,
Building reproducible machine learning in production (Ep. 96)

Building reproducible machine learning in production (Ep. 96)

Data Science at Home,
Bridging the gap between data science and data engineering: metrics  (Ep. 95)

Bridging the gap between data science and data engineering: metrics (Ep. 95)

Data Science at Home,
A big welcome to Pryml: faster machine learning applications to production (Ep. 94)

A big welcome to Pryml: faster machine learning applications to production (Ep. 94)

Data Science at Home,
It's cold outside. Let's speak about AI winter (Ep. 93)

It's cold outside. Let's speak about AI winter (Ep. 93)

Data Science at Home,
The dark side of AI: bias in the machine (Ep. 92)

The dark side of AI: bias in the machine (Ep. 92)

Data Science at Home,
The dark side of AI: metadata and the death of privacy (Ep. 91)

The dark side of AI: metadata and the death of privacy (Ep. 91)

Data Science at Home,
The dark side of AI: recommend and manipulate (Ep. 90)

The dark side of AI: recommend and manipulate (Ep. 90)

Data Science at Home,
The dark side of AI: social media and the optimization of addiction (Ep. 89)

The dark side of AI: social media and the optimization of addiction (Ep. 89)

Data Science at Home,
More powerful deep learning with transformers (Ep. 84) (Rebroadcast)

More powerful deep learning with transformers (Ep. 84) (Rebroadcast)

Data Science at Home,
How to improve the stability of training a GAN (Ep. 88)

How to improve the stability of training a GAN (Ep. 88)

Data Science at Home,
What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)

What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)

Data Science at Home,
Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)

Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)

Data Science at Home,
[RB] How to generate very large images with GANs (Ep. 85)

[RB] How to generate very large images with GANs (Ep. 85)

Data Science at Home,
[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)

[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)

Data Science at Home,
What is wrong with reinforcement learning? (Ep. 82)

What is wrong with reinforcement learning? (Ep. 82)

Data Science at Home,
Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)

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,
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)

Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)

Data Science at Home,
[RB] How to scale AI in your organisation (Ep. 79)

[RB] How to scale AI in your organisation (Ep. 79)

Data Science at Home,
Training neural networks faster without GPU [RB] (Ep. 77)

Training neural networks faster without GPU [RB] (Ep. 77)

Data Science at Home,
How to cluster tabular data with Markov Clustering (Ep. 73)

How to cluster tabular data with Markov Clustering (Ep. 73)

Data Science at Home,
Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

Data Science at Home,
Validate neural networks without data with Dr. Charles Martin (Ep. 70)

Validate neural networks without data with Dr. Charles Martin (Ep. 70)

Data Science at Home,
Complex video analysis made easy with Videoflow (Ep. 69)

Complex video analysis made easy with Videoflow (Ep. 69)

Data Science at Home,
Episode 68: AI and the future of banking with Chris Skinner [RB]

Episode 68: AI and the future of banking with Chris Skinner [RB]

Data Science at Home,
Episode 67: Classic Computer Science Problems in Python

Episode 67: Classic Computer Science Problems in Python

Data Science at Home,
Episode 66: More intelligent machines with self-supervised learning

Episode 66: More intelligent machines with self-supervised learning

Data Science at Home,
Episode 65: AI knows biology. Or does it?

Episode 65: AI knows biology. Or does it?

Data Science at Home,
Episode 64: Get the best shot at NLP sentiment analysis

Episode 64: Get the best shot at NLP sentiment analysis

Data Science at Home,
Episode 63: Financial time series and machine learning

Episode 63: Financial time series and machine learning

Data Science at Home,

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