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Artificial intelligence : the ultimate guide to AI, machine learning, the Internet of Things, deep learning, neural networks, and reinforcement learning + a comprehensive guide to robotics

Neural and adaptive systems : fundamentals through simulation

Artificial Intelligence

Algorithms : The Complete Guide To The Computer Science & Artificial Intelligence Used to Solve Human Decisions, Advance Technology, Optimize Habits, Learn Faster & Your Improve Life (Two Book Bundle)

OpenCV 4 Computer Vision Application Programming Cookbook : Build complex computer vision applications with OpenCV and C++, 4th Edition

My Cell Phone Can Think : A Textbook on Artificial Intelligence

Neural networks

Self-Organizing Maps

Tensorflow for deep learning : from linear regression to reinforcement learning

Connectionism and the mind : parallel processing, dynamics, and evolution in networks

Neural networks for modelling and control of dynamic systems : a practitioner's handbook

An introduction to neural networks

Not exactly : in praise of vagueness

Bayesian Learning for Neural Networks

Jumpstarting the Arduino 101 : interacting with a computer that learns

Neural Networks : A Systematic Introduction

Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python

An introduction to natural computation

Advances in Large-Margin Classifiers

Exploring neural networks with C`

Computational social psychology

Minds and machines : connectionism and psychological modeling

Artificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skills

Modern Computer Vision with PyTorch : Explore deep learning concepts and implement over 50 real-world image applications

Interpretable Machine Learning with Python : Learn to build interpretable high-performance models with hands-on real-world examples

Artificial Intelligence Engines : A Tutorial Introduction to the Mathematics of Deep Learning

Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Vision : images, signals and neural networks

Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks

Network flows : theory, algorithms, and applications

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