- 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:
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - Francois Chollet
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Artificial Intelligence by example - Denis Rothman
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Python - Francois Cholletf
Deep Learning with PyTorch - Vishnu Subramanian
Medical Image Segmentation Using Artificial Neural Networks
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning in Python - LazyProgrammer
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Scientific Programming with Python - Joakim Sundnes
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Amazon Machine Learning Developer Guild Version Latest
