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The Applied Artificial Intelligence Workshop
The Applied Artificial Intelligence Workshop

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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Profile Icon Anthony So Profile Icon William So Profile Icon Nagy
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₹799.99 ₹2323.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Jul 2020 420 pages 1st Edition
eBook
₹799.99 ₹2323.99
Paperback
₹2904.99
Subscription
Free Trial
Renews at ₹800p/m
Arrow left icon
Profile Icon Anthony So Profile Icon William So Profile Icon Nagy
Arrow right icon
₹799.99 ₹2323.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Jul 2020 420 pages 1st Edition
eBook
₹799.99 ₹2323.99
Paperback
₹2904.99
Subscription
Free Trial
Renews at ₹800p/m
eBook
₹799.99 ₹2323.99
Paperback
₹2904.99
Subscription
Free Trial
Renews at ₹800p/m

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The Applied Artificial Intelligence Workshop

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Key benefits

  • Learn about AI and ML algorithms from the perspective of a seasoned data scientist
  • Get practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more
  • Design neural networks that emulate the human brain

Description

You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You will then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you’ll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you’ll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you’ll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.

Who is this book for?

The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. Although this is a beginner’s book, experienced students and programmers can improve their Python skills by implementing the practical applications given in this book.

What you will learn

  • Create your first AI game in Python with the minmax algorithm
  • Implement regression techniques to simplify real-world data
  • Experiment with classification techniques to label real-world data
  • Perform predictive analysis in Python using decision trees and random forests
  • Use clustering algorithms to group data without manual support
  • Learn how to use neural networks to process and classify labeled images

Product Details

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Publication date : Jul 22, 2020
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781800203730
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Product Details

Publication date : Jul 22, 2020
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781800203730
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Languages :
Tools :

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Frequently bought together


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Table of Contents

6 Chapters
1. Introduction to Artificial Intelligence Chevron down icon Chevron up icon
2. An Introduction to Regression Chevron down icon Chevron up icon
3. An Introduction to Classification Chevron down icon Chevron up icon
4. An Introduction to Decision Trees Chevron down icon Chevron up icon
5. Artificial Intelligence: Clustering Chevron down icon Chevron up icon
6. Neural Networks and Deep Learning Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
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1 star 0%
Shorsh Nov 10, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The first thing that I want to mention is that I really enjoyed the lecture of this book due to its simplicity to explain simple concepts as Heuristics or Deep Learning algorithms.The examples are very concise and easy to follow which makes learning AI a neat adventure.The section I enjoyed the most was Heuristics and Clustering as they have great examples.I would recommend this book to anyone who is looking for a starting path in the AI world.
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