Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications

Good introduction to machine learning Rachel Rockwood At the time of this evaluation, this book has great content. I would like to have seen some more content in the final part of it, but, in general, it is great. There's not the same detailed guide for the chapter on neutral networks which was a shame. I recommend this to anyone at any technical level who is interested into mach. Really informative. Alexander The information just can't be put in a more simple manner. Great book!. Excellent book. Hasib This is really an excellent and informative book.Machine learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are c

Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms.In practice, they want to give computers the ability to Learn and to Adapt.We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people.Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it.Supervised Learning AlgorithmsK-Nearest NeighbourNaïve BayesRegressionsUnsupervised Learning Algorithms:S