Did you know that artificial intelligence (AI) is changing our world faster than we can imagine? Try to envision all the mind-boggling benefits of a world where AI can help us to enjoy almost every area of our lives. This world will be a reality in the very near future, but along with the benefits will come new challenges as well. AI will impact every area of our lives, in some ways that we can’t even predict, whether we like it or not. Would you like to know more about this fascinating technology? In this non-technical guidebook, you will discover the many ways in which AI is already changing our world, and how you can adjust to these changes. You will also learn practical methods you can use to apply AI in your own personal and professional life. Artificial intelligence will help us to do almost everything better, faster and cheaper, but it will also bring about some considerable challenges that we need to start preparing for now. One common misconception is that only big technology companies can work with and benefit from AI. In this book you will discover several creative ways in which you can do the same.
Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Neural Networks and Deep Learning - Charu C.Aggarwal
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Artificial Intelligence by example - Denis Rothman
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introduction to Scientific Programming with Python - Joakim Sundnes
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning in Python - LazyProgrammer
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Python - Francois Cholletf
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Python - Francois Chollet
Intelligent Projects Using Python - Santanu Pattanayak
Medical Image Segmentation Using Artificial Neural Networks
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to the Math of Neural Networks - Jeff Heaton
