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Title
Artificial intelligence with Python/ Teik Toe Teoh, Zheng Rong.
ISBN
9789811686153 (electronic bk.)
9811686157 (electronic bk.)
9811686149
9789811686146
Publication Details
Singapore : Springer, 2022.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-8615-3 doi
Call Number
QA76.73.P98
Dewey Decimal Classification
005.13/3
Summary
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 Amazons 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 31, 2022).
Series
Machine learning (Springer (Firm))
Available in Other Form
Print version: 9789811686146
Part I Python
1 About Python
2 Whats 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.
