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
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning and Neural Networks - Jeff Heaton
Introduction to Scientific Programming with Python - Joakim Sundnes
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Java Deep Learning Essentials - Yusuke Sugomori
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Deep Learning Cookbook - Indra den Bakker
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning with Python - Francois Chollet
Python Machine Learning - Sebastian Raschka
Deep Learning with PyTorch - Vishnu Subramanian
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville