[Paper] arxiv.org

[Paper] arxiv.org

[Paper-arXiv] arxiv.org

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[Paper] arxiv.org

[Paper] arxiv.org

[Paper] arxiv.org

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[Paper] arxiv.org

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[Paper] arxiv.org

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[arXiv Paper] arxiv.org

[Paper] arxiv.org

[Paper] ais.uni-bonn.de

[Paper] ais.uni-bonn.de

Paper 202.118.75.4

Two Minute Papers' Channel youtube.com

Interesting and shallow overview of some research papers, for example about WaveNet or Neural Style Transfer.

Computer Science youtube.com

Yet another YouTube playlist I composed, this time about various CS topics.

Signal Processing Playlist youtube.com

A YouTube playlist I composed about DFT/FFT, STFT and the Laplace transform - I was mad about my software engineering bachelor not including signal processing classes (except a bit in the quantum physics class).

Deep Learning & Machine Learning (Advanced topics) youtube.com

A list of videos about deep learning that I found interesting or useful, this is a mix of a bit of everything.

Tensor Calculus and the Calculus of Moving Surfaces youtube.com

Generalize properly how Tensors work, yet just watching a few videos already helps a lot to grasp the concepts.

Siraj's Channel youtube.com

Siraj has entertaining, fast-paced video tutorials about deep learning.

What is the Best Multi-Stage Architecture for Object Recognition? yann.lecun.com

Awesome for the use of "local contrast normalization".

Neuralink and the Brain’s Magical Future waitbutwhy.com

Thought provoking article about the future of the brain and brain-computer interfaces.

Why do 87% of data science projects never make it into production? venturebeat.com

Data is not to be overlooked, and communication between teams and data scientists is important to integrate solutions properly.

SOLID Machine Learning umaneo.com

The SOLID principles applied to Machine Learning.

GLO-4030/7030 Apprentissage par réseaux de neurones profonds ulaval-damas.github.io

This is a class given by Philippe Giguère, Professor at University Laval. I especially found awesome its rare visualization of the multi-head attention mechanism, which can be contemplated at the slide 28 of week 13's class.

Machine Learning for Trading by Georgia Tech udacity.com

Interesting class for acquiring basic knowledge of machine learning applied to trading and some AI and finance concepts. I especially liked the section on Q-Learning.

Deep Learning by Google udacity.com

Good intermediate to advanced-level course covering high-level deep learning concepts, I found it helps to get creative once the basics are acquired.

François Chollet's Twitter twitter.com

Author of Keras - has interesting Twitter posts and innovative ideas.

The real reason most ML projects fail towardsdatascience.com

Focus on clear business objectives, avoid pivots of algorithms unless you have really clean code, and be able to know when what you coded is "good enough".