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Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition Denis Rothman

Język publikacji: angielskim
Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition Denis Rothman - okladka książki

Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition Denis Rothman - okladka książki

Autor:
Denis Rothman
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
578
Dostępne formaty:
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     ePub
     Mobi

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AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.

This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).

This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.

By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.

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O autorze książki

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Moët et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.

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