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
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning with Python for everyone - Mark E.Fenner
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Data Science and Big Data Analytics - EMC Education Services
R Deep Learning Essentials - Dr. Joshua F.Wiley
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Coding Theory - Algorithms, Architectures and Application
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Amazon Machine Learning Developer Guild Version Latest
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Intelligent Projects Using Python - Santanu Pattanayak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning with spark and python - Michael Bowles
Deep Learning with Hadoop - Dipayan Dev