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 Machine Learning Eqution Reference - Sebastian Raschka
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Deep Learning Cookbook - Indra den Bakker
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning with Python - Francois Chollet
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with PyTorch - Vishnu Subramanian
Artificial Intelligence by example - Denis Rothman
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Neural Networks and Deep Learning - Charu C.Aggarwal
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to the Math of Neural Networks - Jeff Heaton
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning with Python for everyone - Mark E.Fenner
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson