The The Applied Artificial Intelligence Workshop: Start working with AI today, to build games, design decision trees, and train your own machine learning models
Author:   Anthony So ,  William So ,  Zsolt Nagy
Publisher:   Packt Publishing Limited
ISBN:  

9781800205819


Pages:   420
Publication Date:   22 July 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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The The Applied Artificial Intelligence Workshop: Start working with AI today, to build games, design decision trees, and train your own machine learning models


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Full Product Details

Author:   Anthony So ,  William So ,  Zsolt Nagy
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800205819


ISBN 10:   1800205813
Pages:   420
Publication Date:   22 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Artificial Intelligence An Introduction to Regression An Introduction to Classification An Introduction to Decision Trees Artificial Intelligence: Clustering Neural Networks and Deep Learning

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Author Information

Anthony So is an outstanding leader with more than 13 years of experience. He is recognized for his analytical skills and data-driven approach for solving complex business problems and driving performance improvements. William So is a data scientist with a strong academic background and extensive professional experiences. He has continually been recognized for his analytical skills and data-driven approach for solving complex business problems and driving business values. Zsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his MSc in inference on ontologies, he used AI mainly for analyzing online poker strategies to aid professional poker players in decision making.

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