Overview
- An essential artificial intelligence tutorial for people with little to no programming experience
- Easy-to-digest content and code snippets covered in a step-by-step manner
- Instructs how to implement your own artificial intelligence algorithms
Part of the book series: Machine Learning: Foundations, Methodologies, and Applications (MLFMA)
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Table of contents (20 chapters)
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Front Matter
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Artificial Intelligence Basics
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Front Matter
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Artificial Intelligence Implementations
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Front Matter
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Keywords
About this book
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. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.
This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python 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 subjectsin deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
Authors and Affiliations
About the authors
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, 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.
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 has coauthored three journal publications on machine learning and deeplearning. He is interested in making learning programming and technology easy for all, including those from a non-technical background.
Bibliographic Information
Book Title: Artificial Intelligence with Python
Authors: Teik Toe Teoh, Zheng Rong
Series Title: Machine Learning: Foundations, Methodologies, and Applications
DOI: https://doi.org/10.1007/978-981-16-8615-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-8614-6Published: 17 March 2022
Softcover ISBN: 978-981-16-9322-9Published: 18 March 2023
eBook ISBN: 978-981-16-8615-3Published: 16 March 2022
Series ISSN: 2730-9908
Series E-ISSN: 2730-9916
Edition Number: 1
Number of Pages: XIV, 336
Number of Illustrations: 20 illustrations in colour
Topics: Artificial Intelligence, Machine Learning, Data Structures and Information Theory, Python, Professional Computing