In the 3rd episode of Rust and machine learning I speak with Alec Mocatta.
Alec is a +20 year experience professional programmer who has been spending time at the interception of distributed systems and data analytics. He's the founder of two startups in the distributed system space and author of Amadeus, an open-source framework that encourages you to write clean and reusable code that works, regardless of data scale, locally or distributed across a cluster.
Only for June 24th, LDN *Virtual* Talks June 2020 with Bippit (Alec speaking about Amadeus)
Bridging the gap between data science and data engineering: metrics (Ep. 95)
A big welcome to Pryml: faster machine learning applications to production (Ep. 94)
It's cold outside. Let's speak about AI winter (Ep. 93)
The dark side of AI: bias in the machine (Ep. 92)
The dark side of AI: metadata and the death of privacy (Ep. 91)
The dark side of AI: recommend and manipulate (Ep. 90)
The dark side of AI: social media and the optimization of addiction (Ep. 89)
More powerful deep learning with transformers (Ep. 84) (Rebroadcast)
How to improve the stability of training a GAN (Ep. 88)
What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)
Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)
[RB] How to generate very large images with GANs (Ep. 85)
More powerful deep learning with transformers (Ep. 84)
[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)
What is wrong with reinforcement learning? (Ep. 82)
Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)
[RB] How to scale AI in your organisation (Ep. 79)
Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)
Training neural networks faster without GPU [RB] (Ep. 77)
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