Advanced Natural Language Processing with TensorFlow 2
Ashish Bansal
Advances in Metaheuristics for Hard Optimization
Patrick Siarry & Zbigniew Michalewicz
Natural Computing Series (0.0)
AI and Machine Learning for Coders
Laurence Moroney
AI Assistants
Roberto Pieraccini
AI Ethics
Mark Coeckelbergh
Algorithmic Short Selling with Python
Laurent Bernut
Algorithms
Panos Louridas
Analyzing Evolutionary Algorithms
Thomas Jansen
Applied Deep Learning and Computer Vision for Self-Driving Cars
Sumit Ranjan & Dr. S. Senthamilarasu
The Art of Artificial Evolution
Juan J. Romero & Penousal Machado
Artificial Intelligence and Evolutionary Algorithms in Engineering ...
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Artificial Intelligence By Example
Denis Rothman
Artificial Intelligence for Digitising Industry
Ovidiu Vermesan & Reiner John & Cristina De Luca & Marcello Coppola
Bioinspired Computation in Combinatorial Optimization
Frank Neumann & Carsten Witt
Computational Thinking
Peter J. Denning & Matti Tedre
Deep Learning
John D. Kelleher
Deep Reinforcement Learning Hands-On
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Exploring GPT-3
Steve Tingiris
Genetic Algorithms in Elixir
Sean Moriarity
Genetic Algorithms with Python
Clinton Sheppard
Getting Started with Streamlit for Data Science
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Graph Machine Learning
Claudio Stamile & Aldo Marzullo & Enrico Deusebio
Hands-On Gradient Boosting with XGBoost and scikit-learn
Corey Wade
Interpretable Machine Learning with Python
Serg Masís
Introduction to Evolutionary Computing
Agoston E. Eiben & J.E. Smith
The Kaggle Book
Konrad Banachewicz & Luca Massaron & Anthony Goldbloom
Learn Amazon SageMaker
Julien Simon
Machine Learning
Ethem Alpaydin
Machine Learning Engineering with Python
Andrew P. McMahon
Machine Learning for Algorithmic Trading
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Machine Learning for Time-Series with Python
Ben Auffarth
The Machine Learning Solutions Architect Handbook
David Ping
Machine Learning Using TensorFlow Cookbook
Alexia Audevart & Konrad Banachewicz & Luca Massaron
Machine Learning with PyTorch and Scikit-Learn
Sebastian Raschka & Yuxi (Hayden) Liu & Vahid Mirjalili & Dmytro Dzhulgakov
Python Machine Learning (0.0)
Machine Translation
Thierry Poibeau
Mastering Azure Machine Learning
Christoph Korner & Marcel Alsdorf
Mastering Transformers
Savas Yildirim & Meysam Asgari-Chenaghlu
Modern Computer Vision with PyTorch
V Kishore Ayyadevara & Yeshwanth Reddy
Practical Deep Learning
Ron Kneusel
Practical Discrete Mathematics
Ryan T. White & Archana Tikayat Ray
Python Machine Learning
Sebastian Raschka & Vahid Mirjalili
Spatially Structured Evolutionary Algorithms
Marco Tomassini
Stable Mutations for Evolutionary Algorithms
Andrzej Obuchowicz
The Statistics and Calculus with Python Workshop
Peter Farrell & Alvaro Fuentes & Ajinkya Sudhir Kolhe & Quan Nguyen & Alexander Joseph Sarver & Marios Tsatsos
The TensorFlow Workshop
Matthew Moocarme & Anthony So & Anthony Maddalone
Theory and Principled Methods for the Design of Metaheuristics
Yossi Borenstein & Alberto Moraglio
Transformers for Natural Language Processing