دانلود کتاب Artificial Intelligence with Python

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Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.PrefaceThis book is a practical guide to Python programming and artificial intelligence, written by Dr. Teoh Teik Toe. It contains many articles, notes, and lessons learnt on Python programming, artificial intelligence, and deep learning during Dr. Teoh's career as a deep learning practitioner and a trusted advisor.Dr. Teoh has been pursuing research in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development for more than 25 years. His works have been published in more than 50 journals, conference proceedings, books, and book chapters. His qualifications include a PhD in computer engineering from the NTU, Doctor of Business Administration from the University of Newcastle, Master of Law from the NUS, LLB and LLM from the UoL, and CFA, ACCA and CIMA. He has more than 15 years' experience in data mining, quantitative analysis, data statistics, finance, accounting, and law and is passionate about the synergy between business and technology. He believes that artificial intelligence should be made easy for all to understand and is eager to share his knowledge of the field.Zheng Rong is a software engineer with 4 years of experience. He embraces the ambiguity of data and enjoys the challenges presented by business problems. He has 3 years of teaching experience in data mining and data science, and coauthored three journal publications on artificial intelligence and deep learning. He is interested in making artificial intelligence programming and technology easy to understand for all, including those from a non-technical background.The field of artificial intelligence is very broad. It focuses on creating systems capable of executing tasks which would require some form of human intelligence. In-depth knowledge and understanding of the field is required to be able to develop good artificial intelligence programs. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem very complex and difficult to grasp. Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.Throughout his career, Dr. Teoh has delivered many lectures to students from all walks of life about artificial intelligence. There were many students who had limited v vi Preface experience in programming and began with no knowledge of artificial intelligence. However, under his guidance, they eventually gained confidence in writing their own artificial intelligence programs. Through the materials compiled in this book, he hopes to empower more beginners who are eager to study artificial intelligence and enrich their learning process. Hence, the aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience through practical exercises. By going through the materials covered in this book, newcomers will gain the knowledge they need on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.This book will begin by introducing readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python will be introduced, and programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Basics of artificial intelligence, such as classification and regression, will be imparted to build a solid foundation for beginners before moving to more advanced chapters. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, and speech and natural language processing.