- Series Introduction
- Example Computer Languages
- Prerequisite Knowledge
- Fundamental Algorithms
- Other Resources
- Structure of this Book
This book is the third in a series covering select topics in artificial intelligence (AI), a large field of study that encompasses many sub-disciplines. In this introduction, we will provide some background information for readers who might not have read Volume 1 or 2.
It is not necessary to read Volume 1 or 2 before this book. We introduce needed information from both volumes in the following sections.
Related posts:
Machine Learning with Python for everyone - Mark E.Fenner
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with PyTorch - Vishnu Subramanian
Coding Theory - Algorithms, Architectures and Application
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Artificial Intelligence by example - Denis Rothman
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Data Structures and Algorithms - Benjamin Baka
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Machine Learning - Sebastian Raschka
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning in Python - LazyProgrammer
Neural Networks - A visual introduction for beginners - Michael Taylor
Learn Keras for Deep Neural Networks - Jojo Moolayil
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to Deep Learning - Eugene Charniak
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
