Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…

Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are examples of AI-based applications that affect us on a daily basis.

Deep learning has been systematically improving the state of the art in areas such as speech recognition, autonomous driving, machine translation,…

ContinueAdded by Marco Tavora on January 5, 2020 at 5:30am — No Comments

Picture by By Tatiana Shepeleva/shutterstock.com

One of the most challenging problems in modern theoretical physics is the so-called many-body problem. Typical many-body systems are composed of a large number of strongly interacting particles. Few such systems are amenable to exact…

ContinueAdded by Marco Tavora on January 5, 2020 at 4:30am — No Comments

In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum…

Added by Marco Tavora on July 4, 2019 at 12:30am — 2 Comments

Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…

Added by Marco Tavora on May 20, 2019 at 11:46am — No Comments

The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient…

ContinueAdded by Marco Tavora on May 1, 2019 at 4:57am — No Comments

It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…

Added by Marco Tavora on May 1, 2019 at 4:52am — No Comments

- Connections between Neural Networks and Pure Mathematics
- Neural Quantum States
- How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
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- Connections between Neural Networks and Pure Mathematics
- How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
- Neural Quantum States
- Deep Learning Explainability: Hints from Physics
- The Approximation Power of Neural Networks (with Python codes)
- Machine Learning and Particle Motion in Liquids: An Elegant Link

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- Mathematics (2)
- Deep Learning (1)
- Physics (1)
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