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
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Deep Learning - Eugene Charniak
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning with spark and python - Michael Bowles
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Machine Learning - Sebastian Raschka
Machine Learning with Python for everyone - Mark E.Fenner
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - Francois Chollet
Neural Networks and Deep Learning - Charu C.Aggarwal
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks - A visual introduction for beginners - Michael Taylor
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Theano - Christopher Bourez
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning for Natural Language Processing - Jason Brownlee
Data Science and Big Data Analytics - EMC Education Services
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning with Hadoop - Dipayan Dev
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Artificial Intelligence by example - Denis Rothman
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron