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Artificial Intelligence with Python / by Teik Toe Teoh, Zheng Rong
(Machine Learning: Foundations, Methodologies, and Applications. ISSN:27309916)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XIV, 336 p. 20 illus. in color : online resource
著者標目	*Teoh, Teik Toe author Rong, Zheng author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0004677	Computer Scinece R0 2005-6,2022-3				9789811686153

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一般注記	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 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 subjects in 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 HTTP:URL=https://doi.org/10.1007/978-981-16-8615-3
件　名	LCSH:Artificial intelligence LCSH:Machine learning LCSH:Artificial intelligence -- Data processing 全ての件名で検索 LCSH:Python (Computer program language) LCSH:Programming languages (Electronic computers) FREE:Artificial Intelligence FREE:Machine Learning FREE:Data Science FREE:Python FREE:Programming Language
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00004065
ISBN	9789811686153