Drew Conway,John Myles White: Machine Learning for Hackers

Machine Learning for Hackers


Description

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine learning and statistics tools in a practical fashion, using black-box solutions and case studies instead of a traditional math-heavy presentation. By exploring each problem in this book in depth - including both viable and hopeless approaches - you'll learn to recognize when your situation closely matches traditional problems. Then you'll discover how to apply classical statistics tools to your problem. Machine Learning for Hackers is ideal for programmers from private, public, and academic sectors.

Breathing Space July * The Appendix at the back of the book contains a comprehensive bank of word lists, word sorts, picture sorts, games and templates. The theory behind and practice for word sorts allows even the novice teacher to understand how to use the assessments to organize instruction. The organization of the last five chapters creates a useful resource for teachers. Each begins with a research-based description and moves into sound instructional practices, giving the teacher a complete understanding of how to meet the needs of students. Cathy Blanchfield, CSU Fresno Meet the Authors * Donald Bear is Director of the E.L. Cord Foundation Center for Learning Machine Learning for Hackers pdf and Literacy at the University of Nevada, Reno, assessing and teaching students who experience difficulties learning to read and write. A former preschool and elementary teacher, Donald currently researches literacy development with a special interest in students who speak languages other than English, and he partners with schools and districts to consider assessment and literacy instruction.


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Author: Drew Conway,John Myles White
Number of Pages: 322 pages
Published Date: 04 Apr 2012
Publisher: O'Reilly Media, Inc, USA
Publication Country: Sebastopol, United States
Language: English
ISBN: 9781449303716
Download Link: Click Here
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