Data Science at Home
Un pódcast de Francesco Gadaleta
Categorías:
254 Episodo
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Why sharing real data is dangerous (Ep. 97)
Publicado: 1/3/2020 -
Building reproducible machine learning in production (Ep. 96)
Publicado: 22/2/2020 -
Bridging the gap between data science and data engineering: metrics (Ep. 95)
Publicado: 14/2/2020 -
A big welcome to Pryml: faster machine learning applications to production
Publicado: 7/2/2020 -
It's cold outside. Let's speak about AI winter (Ep. 93)
Publicado: 31/12/2019 -
The dark side of AI: bias in the machine (Ep. 92)
Publicado: 28/12/2019 -
The dark side of AI: metadata and the death of privacy (Ep. 91)
Publicado: 23/12/2019 -
The dark side of AI: recommend and manipulate (Ep. 90)
Publicado: 11/12/2019 -
The dark side of AI: social media and the optimization of addiction (Ep. 89)
Publicado: 3/12/2019 -
How to improve the stability of training a GAN (Ep. 88)
Publicado: 18/11/2019 -
What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)
Publicado: 12/11/2019 -
Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)
Publicado: 5/11/2019 -
More powerful deep learning with transformers (Ep. 84)
Publicado: 27/10/2019 -
What is wrong with reinforcement learning? (Ep. 82)
Publicado: 15/10/2019 -
Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)
Publicado: 10/10/2019 -
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)
Publicado: 1/10/2019 -
[RB] How to scale AI in your organisation (Ep. 79)
Publicado: 26/9/2019 -
Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)
Publicado: 23/9/2019 -
How to generate very large images with GANs (Ep. 76)
Publicado: 6/9/2019 -
How to cluster tabular data with Markov Clustering (Ep. 73)
Publicado: 20/8/2019
Artificial Intelligence, algorithms and tech tales that are shaping the world