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The Applied Artificial Intelligence Workshop

You're reading from The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800205819

Length 420 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Artificial Intelligence

Authors (3):

Anthony So

Zsolt Nagy

William So

View More author details

Table of Contents (8) Chapters

Preface

1. Introduction to Artificial Intelligence

2. An Introduction to Regression FREE CHAPTER

3. An Introduction to Classification

4. An Introduction to Decision Trees

5. Artificial Intelligence: Clustering

6. Neural Networks and Deep Learning

Appendix

Neurons in TensorFlow

TensorFlow is currently the most popular neural network and deep learning framework. It was created and is maintained by Google. TensorFlow is used for voice recognition and voice search, and it is also the brain behind translate.google.com. Later in this chapter, we will use TensorFlow to recognize written characters.

The TensorFlow API is available in many languages, including Python, JavaScript, Java, and C. TensorFlow works with tensors. You can think of a tensor as a container composed of a matrix (usually with high dimensions) and additional information related to the operations it will perform (such as weights and biases, which you will be looking at later in this chapter). A tensor with no dimensions (with no rank) is a scalar. A tensor of rank 1 is a vector, rank 2 tensors are matrices, and a rank 3 tensor is a three-dimensional matrix. The rank indicates the dimensions of a tensor. In this chapter, we will be looking at tensors of ranks 2 and...

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Authors (3)

Anthony So

Anthony So

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation.

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Nagy

Nagy

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. After the poker boom ended, he put extra effort into building a T-shaped profile in leadership and software engineering.

See other products by Nagy

William So

William So

William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.

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