Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Machine Learning Pocket Reference: A Quick Guide to Structured Machine Learning Techniques

by Matt Harrison
Save 31% Save 31%
Current price ₹2,041.00
Original price ₹2,940.00
Original price ₹2,940.00
Original price ₹2,940.00
(-31%)
₹2,041.00
Current price ₹2,041.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781492047544
  • Binding: Paperback
  • Subject: N/A
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Publication Date:
  • Pages: 200
  • Original Price: USD 29.99
  • Language: English
  • Edition: N/A
  • Item Weight: 236 grams
  • BISAC Subject(s): Artificial Intelligence / General, Image Processing, and Data Science / General

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.

Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youâ ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.

This pocket reference includes sections that cover:

  • Classification, using the Titanic dataset
  • Cleaning data and dealing with missing data
  • Exploratory data analysis
  • Common preprocessing steps using sample data
  • Selecting features useful to the model
  • Model selection
  • Metrics and classification evaluation
  • Regression examples using k-nearest neighbor, decision trees, boosting, and more
  • Metrics for regression evaluation
  • Clustering
  • Dimensionality reduction
  • Scikit-learn pipelines

Harrison, Matt: - Matt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us