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

Editor

Packt Publishing

Fecha de publicaci�n

2020

Idioma

Ingl�s

ISBN 10

1800205813

ISBN 13

9781800205819

Encuadernaci�n

Taschenbuch

Estado

Neu

Dimensiones

Peso

780 gramos

Cat�logos de vendedores

B�cher

Acerca de

Sinopsis

With knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities

Key Features

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

Book 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'll 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.

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

Who this book is 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.

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

Acerca de los autores

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. He is also a successful coach and mentor with capabilities in statistical analysis and expertise in machine learning with Python.

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. During his career, he successfully covered the end-end spectrum of data analytics from ML to business intelligence helping stakeholders derive valuables insights and achieve amazing results for the benefits of the business. He is also a strong communicator interacting with operational to senior management across different departments including IT, marketing, and finance. He is passionate about the utilisation of deep learning technology and is currently enrolled in a deep learning nano-degree hosted by Udacity.

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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