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Artificial Intelligence with Python / by Teik Toe Teoh, Zheng Rong.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Teoh, Teik Toe., Author.
Rong, Zheng., Author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Machine Learning: Foundations, Methodologies, and Applications, 2730-9916
Language:
English
Subjects (All):
Artificial intelligence.
Machine learning.
Artificial intelligence-Data processing.
Python (Computer program language).
Programming languages (Electronic computers).
Artificial Intelligence.
Machine Learning.
Data Science.
Python.
Programming Language.
Local Subjects:
Artificial Intelligence.
Machine Learning.
Data Science.
Python.
Programming Language.
Physical Description:
1 online resource (XIV, 336 pages) : 20 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
System Details:
text file PDF
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 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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-981-16-8615-3
9789811686153
Access Restriction:
Restricted for use by site license.

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