Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R

The Art of Machine Learning: A Hands-On Guide to Machine Learning with R

Matloff, Norman

Paperback

ApplicationsGeneral ComputersProgramming

Currently unavailable to order

ISBN10: 1718502109
ISBN13: 9781718502109
Publisher: No Starch Press
Published: Jan 9 2024
Pages: 272
Weight: 1.15
Height: 0.70 Width: 6.90 Depth: 9.20
Language: English
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

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