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Recommended Books

This is a collection of usefull and recommended books about data science, artificial intelligence and math in general. Do not hesitate to contact us to recommend new books.

Natural Language Processing with Transformers

Artificial Intelligence

By

Lewis Tunstall, Leandro von Werra, Thomas Wolf

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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Artificial Intelligence

By

David Foster, Karl Friston

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Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition (Studies in Nonlinearity)

Chaos Theory

By

Steven Strogatz

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Cybersecurity – Attack and Defense Strategies: Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals, 2nd Edition

Cyber Security

By

Erdal Ozkaya

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Learning GraphQL

Data Bases

By

Eve Porcello, Alex Banks

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Make you own neural network

Artificial Intelligence

By

Tariq Rashid

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Machine Learning with R

Artificial Intelligence

By

Brett Lantz

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Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Artificial Intelligence

By

Denis Rothman

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