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Beschreibung
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.
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.
Über den Autor
Dr. Teik Toe Teoh is an academic director and senior lecturer at Nanyang Business School, NTU. He has over 25 years of experience as a highly experienced researcher in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development. His works have been published in more than 50 journals, conferences, books, and book chapters, including the textbook "Artificial Intelligence with Python," published with Springer in 2022. Dr. Teoh holds a PhD in Computer Engineering from NTU; a Doctor of Business Administration from the University of Newcastle; and a Master of Law from NUS, LLB, and LLM from UoL, as well as certifications in CFA, ACCA, and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistic, finance, accounting, and law and is high passionate about the synergy between business and technology.

Goh Yu Jin is an artificial intelligence engineer with 4 years of professional experience and 1.5 years of teaching experience in artificial intelligence. He holds a bachelor's degree in Information Systems Technology and Design, specializing in artificial intelligence. He has coauthored two conference publications on the subject and is passionate about applying AI to a wide variety of use cases and making complex concepts easy to understand for everyone.
Zusammenfassung

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

Inhaltsverzeichnis
Part I Python.- 1 About Python.- 2 What's Python?.- 3 An Introductory Example.- 4 Basic Python.- 5 Intermediate Python.- 6 Advanced Python.- 7 Python for data analysis.- Part II Artificial Intelligence Basics.- 8 Introduction to artificial intelligence.- 9 Data wrangling.- 10 Regression.- 11 Classification.- 12 Clustering.- 13 Association Rules.- Part III Artificial Intelligence.- Implementations.- 14 Text Mining.- 15 Image Processing.- 16 Convolutional Neural Networks.- 17 Chatbot, Speech and NLP.- 18 Deep Convolutional Generative Adversarial Network.- 19 Neural style transfer.- 20 Reinforcement learning.- 21 References.
Details
Erscheinungsjahr: 2023
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiv
336 S.
20 farbige Illustr.
336 p. 20 illus. in color.
ISBN-13: 9789811693229
ISBN-10: 9811693226
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Teoh, Teik Toe
Rong, Zheng
Auflage: 1st edition 2022
Hersteller: Springer
Springer Singapore
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 20 mm
Von/Mit: Teik Toe Teoh (u. a.)
Erscheinungsdatum: 18.03.2023
Gewicht: 0,534 kg
Artikel-ID: 120913176

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