The Application of Artificial Intelligence : Step-by-Step Guide from Beginner to Expert / by Zoltán Somogyi.

Format:

Book

Author/Creator:

Somogyi, Zoltán, Author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Artificial intelligence-Data processing.

Artificial Intelligence.

Machine Learning.

Data Science.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Data Science.

Physical Description:

1 online resource (XXXV, 431 pages) : 303 illustrations, 228 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.

Contents:

Part I, Introduction

An Introduction to Machine Learning and Artificial Intelligence (AI)

Part II, An In-Depth Overview of Machine Learning

Machine Learning Algorithms

Performance Evaluation of Machine Learning Models

Machine Learning Data

Part III, Automatic Speech Recognition

Automatic Speech Recognition

Part IV, Biometrics Recognition

Face Recognition

Speaker Recognition

Part V, Machine Learning by Example

Machine Learning by Example

Part VI, The AI-Toolkit: Machine Learning Made Simple

The AI-Toolkit: Machine Learning Made Simple

App. A, From Regular Expressions to HMM

References

Index.

Other Format:

Printed edition:

ISBN:

978-3-030-60032-7

9783030600327

Access Restriction:

Restricted for use by site license.