Biologists, too, have used AI—in the form of ‘artificial life’ (A-Life), which develops computer models of differing aspects of living organisms. This helps them to explain various types of animal behaviour, the development of bodily form, biological evolution, and the nature of life itself. Besides affecting the life sciences, AI has influenced philosophy. Many philosophers today base their accounts of mind on AI concepts. They use these to address, for instance, the notorious mind–body problem, the conundrum of free will, and the many puzzles regarding consciousness. However, these philosophical ideas are hugely controversial. And there are deep disagreements about whether any AI system could possess real intelligence, creativity, or life. Last, but not least, AI has challenged the ways in which we think about humanity—and its future. Indeed, some people worry about whether we actually have a future, because they foresee AI surpassing human intelligence across the board. Although a few thinkers welcome this prospect, most dread it: what place will remain, they ask, for human dignity and esponsibility?
Artificial Intelligence – A Very Short Introduction – Margaret A.Boden
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Theano - Christopher Bourez
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Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Python - Francois Chollet
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introduction to Scientific Programming with Python - Joakim Sundnes
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Neural Networks - A visual introduction for beginners - Michael Taylor
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Fundamentals of Deep Learning - Nikhil Bubuma
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Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...