Have you noticed the increasing prevalence of software that tries to learn from you?
More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future.
If you are interested in learning more about the computer programs of tomorrow then "Neural A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" is the book you have been waiting for.
You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do!
Steven Cooper is a freelance writer, producer, and the author of three previous novels. A former television reporter, he has received multiple Emmy awards and nominations, a national Edward R. Murrow Award, and many honors from the Associated Press. He taught writing at Rollins College (Winter Park, FL) from 2007 to 2012. He currently lives in Atlanta.
It took me forever to finish it but I finally did it today. It’s a great book for beginners in neural networks, but even there you might stumble upon some stones along the way.
For example, everything was smooth and easy until I got to node activation chapter and there was a Sigmoid function used. While this is not completely foreign to me, I spent some time catching up with the book in order to fully understand it.
For CS majors I’d recommend to read statistics for beginners first.