As is apparent, the first part of the book covers pure mathematical concepts, without getting into machine learning at all. The second part turns its attention to applying these newfound maths skills to machine learning problems. Depending on your desires, you could take either a top-down or b...
Every chapter focuses on one machine learning technique, providing detailed information on the intuition behind it, how it works, what it’s used for, and a good number of Python examples. The book covers not only machine learning but also deep learning, offering a great introduction toKerasand...
Ever used bag of words representations in NLP or computer vision. Why do they work? Why does Q-learning converge? You need to understand the other two foundations of probability theory. For my last book, I’ll chooseThe Topology of Fiber Bundlesby Steenrod. These are ways of parameterizing...
not a machine learning book as such but great for learning to deal with one of the most common types of data around; text. since most of machine learning theory is about maths (ie numbers) this is awesome in helping to understanding how to deal with text in a mathematical context. 5)"...
Deep Learning by Goodfellow et alis the reference go to book in universities for teaching the theory behind Deep Learning. It is an exhaustively written book, with lots of theory and maths, oriented towards granting its readers a deep understanding of what happens in the guts of a Deep Artific...
Experimental machine learning on synthetic data The probabilistic method in number theory Off-the-beaten-path introduction to linear algebra Time series modeling: best kep secrets A plethora of unusual, little known probability distributions Recreational Mathematics ...
Discover one of the best Machine Learning books; simple, short, concise and elegant: The Hundred-Page Machine Learning book About the book: 100 Pages of pure knowledge is an excellent way for people with a scientific background to start learning about Ma
Who is this book for? This course is designed for technical professionals, data analysts, and aspiring data scientists who are keen to deepen their understanding of the mathematical and statistical principles behind machine learning. Ideal for those with a basic grasp of algebra and statistics, th...
1. Machine Learning for Absolute Beginners: A Plain English Introduction Author:Oliver Theobald Publisher— Scatterplot Press Difficulty Level:Beginner Get Book here—Amazon Cover of the book “Machine Learning for Absolute Beginners” As the title explains, if you’re an absolutebeginner to Machine ...
Machine learning is the discipline that gives computers the ability to learn without being explicitly programmed to do so . This is one of the first definitions due to Arthur Samuel back in 1959.Quarteroni, AlfioPolitecnico di Milano Dipartimento di Matematica...