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 with Applications Using Python - Navin Kumar Manaswi
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
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Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Pattern recognition and machine learning - Christopher M.Bishop
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Eqution Reference - Sebastian Raschka
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Java Deep Learning Essentials - Yusuke Sugomori
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning with Python for everyone - Mark E.Fenner
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
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Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
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Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland