Kickstart Artificial Intelligence Fundamentals : Master Machine Learning, Neural Networks, and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras (English Edition).

Format:

Book

Author/Creator:

Anand, S. Mahesh.

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Physical Description:

1 online resource (343 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2025.

Summary:

AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field. Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice. Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners. Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don't get left behind--embrace AI and future-proof your career today!.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Author

About the Technical Reviewer

Acknowledgements

Preface

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Errata

Table of Contents

1. Introduction and Evolution of AI Technologies

Introduction

Structure

Brief Introduction and Evolution of AI

Historical Developments in AI

Milestones in AI Development

Rule-Based System and Symbolic Reasoning in AI

Historical Background of Rule-Based System

Components of Rule-Based System

Symbolic Reasoning in AI

Logic and Inference Engines

Expert Systems: A Practical Application of Symbolic Reasoning

Knowledge Representation in Rule-Based Systems

Examples and Case Studies of Rule-Based Systems

Example in Health Care and Medical Diagnosis

Case Study-1: Enhancing Pediatric Respiratory Diagnostics with Rule-Based Systems

Example in Banking and Finance

Case Study-2: Streamlining Credit Risk Assessment with Rule-Based Systems

Example in Manufacturing and Production Industry Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9789348107138

9348107135

9789348107220

9348107224

OCLC:

1513423598