𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Artificial Intelligence: From Beginning To Date

✍ Scribed by Zixing Cai;Lijue Liu;Baifan Chen;Yong Wang;


Publisher
World Scientific Publishing Company
Year
2021
Tongue
English
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This English edition monograph is developed and updated from China's best-selling, and award-winning, book on Artificial Intelligence (AI). It covers the foundations as well as the latest developments of AI in a comprehensive and systematic manner. It is a valuable guide for students and researchers on artificial intelligence.A wide range of topics in AI are covered in this book with four distinct features. First of all, the book comprises a comprehensive system, covering the core technology of AI, including the basic theories and techniques of 'traditional' artificial intelligence, and the basic principles and methods of computational intelligence. Secondly, the book focuses on innovation, covering advanced learning methods for machine learning and deep learning techniques and other artificial intelligence that have been widely used in recent years. Thirdly, the theory and practice of the book are highly integrated. There are theories, techniques and methods, as well as many application examples, which will help readers to understand the artificial intelligence theory and its application development. Fourthly, the content structure of the book is quite characteristic, consisting of three parts: (i) knowledge-based artificial intelligence, (ii) data-based artificial intelligence, and (iii) artificial intelligence applications.It is closely related to the core elements of artificial intelligence, namely knowledge, data, algorithms, and computing powers. This reflects the authors' deep understanding of the artificial intelligence discipline.


πŸ“œ SIMILAR VOLUMES


Artificial Intelligence: From Beginning
✍ Zixing Cai, Lijue Liu, Baifan Chen, Yong Wang πŸ“‚ Library πŸ“… 2021 πŸ› World Scientific Pub Co Inc 🌐 English

<p><span>This is the English edition monograph developed and updated from China's best-selling and award-winning book on Artificial Intelligence. It covers the foundations as well as the latest developments of Artificial Intelligence in a comprehensive and systematic manner and can be used as a valu

Artificial Intelligence: From Beginning
✍ Zixing Cai, Lijue Liu, Baifan Chen, Yong Wang πŸ“‚ Library πŸ“… 2021 πŸ› World Scientific Pub Co Inc 🌐 English

<p><span>This is the English edition monograph developed and updated from China's best-selling and award-winning book on Artificial Intelligence. It covers the foundations as well as the latest developments of Artificial Intelligence in a comprehensive and systematic manner and can be used as a valu

From Artificial Intelligence to Brain In
✍ Rajiv Joshi, Matt Ziegler, Arvind Kumar, Eduard Alarcon πŸ“‚ Library πŸ“… 2022 πŸ› River Publishers 🌐 English

Research in Artificial Intelligence (AI) is not new, it has been around since 1950’s. AI resurfaced at that time while Moore’s law was on an aggressive path of scaling, with the transformation of NMOS and later bipolar technology to CMOS for high performance, low power as well as low cost applicatio

Deep Learning: From Big Data to Artifici
✍ Stephane S. Tuffery πŸ“‚ Library πŸ“… 2022 πŸ› Wiley 🌐 English

<span>DEEP LEARNING</span><p><span>A concise and practical exploration of key topics and applications in data science</span></p><p><span>In </span><span>Deep Learning: From Big Data to Artificial Intelligence with R</span><span>, expert researcher Dr. StΓ©phane TuffΓ©ry delivers an insightful discussi

Deep Learning: From Big Data to Artifici
✍ Stephane S Tuffery πŸ“‚ Library πŸ“… 2022 πŸ› Wiley 🌐 English

<b>DEEP LEARNING</b> <b>A concise and practical exploration of key topics and applications in data science</b> In <i>Deep Learning: From Big Data to Artificial Intelligence with R</i>, expert researcher Dr. StοΏ½phane TuffοΏ½ry delivers an insightful discussion of the applications of deep learning and

Python Beginners Guide to Artificial Int
✍ Denis Rothman, Matthew Lamons, Rahul Kumar, Abhishek Nagaraja, Amir Ziai, Ankit πŸ“‚ Library πŸ“… 2018 πŸ› Packt Publishing 🌐 English

This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical indus