EAN: 9781718502109

THE ART OF MACHINE LEARNING - NORMAN MATLOFF KA...

Learn to expertly apply a range of machine learning methods to real data with this practical
guide.Packed with real datasets and practical examples  The Art of Machine Learning will help
you develop an intuitive understanding of how and why ML methods work  without the need for
advanced math.As you work through the book  you’ll learn how to implement a range of powerful
ML techniques  starting with the k-Nearest Neighbors (k-NN) method and random forests  and
moving on to gradient boosting  support vector machines (SVMs)  neural networks  and more.With
the aid of real datasets  you’ll delve into regression models through the use of a bike-sharing
dataset  explore decision trees by leveraging New York City taxi data  and dissect parametric
methods with baseball player stats. You’ll also find expert tips for avoiding common problems 
like handling dirty” or unbalanced data  and how to troubleshoot pitfalls.You’ll also explore:
How to deal with large datasets and techniques for dimension reduction Details on how the
Bias-Variance Trade-off plays out in specific ML methods Models based on linear relationships 
including ridge and LASSO regression Real-world image and text classification and how to handle
time series data Machine learning is an art that requires careful tuning and tweaking. With The
Art of Machine Learning as your guide  you’ll master the underlying principles of ML that will
empower you to effectively use these models  rather than simply provide a few stock actions
with limited practical use. Requirements: A basic understanding of graphs and charts and
familiarity with the R programming language

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