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 for Natural Language Processing - Jason Brownlee
An introduction to neural networks - Kevin Gurney & University of Sheffield
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning in Python - LazyProgrammer
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning with spark and python - Michael Bowles
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Data Science and Big Data Analytics - EMC Education Services
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning and Neural Networks - Jeff Heaton
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf