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The motivation behind the choice of a particular kernel can be very intuitive and straightforward depending on what kind of information we are expecting to extract about the data. 1. Predictions could be anything – whether the word “book” in a sentence means making an appointment or a paperback, whether an image has a cat or a dog, identifying if an email is a spam or not. This course uses Python and is somewhat lighter on the mathematics behind the algorithms. This is a great book for more than curious Engineers and Manager types who want a clear, rich, and fact-filled summary of the field of Machine Learning. The video is titled “Linear Algebra for machine learning” and was created by Patrick van der Smagt using slides from University Collage London. If you have ever built a model for a real-life problem, you probably experienced that being familiar with the details can go a long way if you want to move beyond baseline performance. 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