In an age of overflowing data, Machine Learning and Data Science seem to be all the rage. By analyzing data, computers are able to "learn" and generalize from examples of things happening in the real world. They can make predictions and answer questions such as “How much should I price this product?” and “Which type of document is this?”. Prediction APIs are making Machine Learning accessible to everyone and this book is the first that teaches how to use them. You will learn the possibilities offered by these APIs, how to formulate your own Machine Learning problem, and what are the key concepts to grasp — not how algorithms work, so it doesn't take a university degree to understand. Learn more at http://www.louisdorard.com/machine-learning-book

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I studied Machine Learning at University College London, where I obtained my Ph.D. At the same time, I also bootstrapped an online business. In between that and writing this book, I organized a challenge and workshop on website optimization at the International Conference on Machine Learning, and I then served as Chief Science Officer in a startup where I was in charge of starting a Research & Development program and turning it into a product. I love starting things from scratch and I am passionate about technological innovation in web and mobile apps. My experience has taught me the importance of simplicity and of starting small. My goal now is to help people create smarter apps and businesses, and to train them to use Prediction APIs.

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