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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

The Mean Shift Algorithm

Mean shift is a hierarchical clustering algorithm that assigns data points to a cluster by calculating a cluster's center and moving it towards the mode at each iteration. The mode is the area with the most data points. At the first iteration, a random point will be chosen as the cluster's center and then the algorithm will calculate the mean of all nearby data points within a certain radius. The mean will be the new cluster's center. The second iteration will then begin with the calculation of the mean of all nearby data points and setting it as the new cluster's center. At each iteration, the cluster's center will move closer to where most of the data points are. The algorithm will stop when it is not possible for a new cluster's center to contain more data points. When the algorithm stops, each data point will be assigned to a cluster.

The mean shift algorithm will also determine the number of clusters needed, in contrast...

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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.

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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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