Machine Learning for Hackers: Case Studies and Algorithms to Get You Started by Drew Conway, John Myles White.
Publisher’s 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.
From twitter traffic it appears that the print version has gone to the printers.
Interested in your comments when either the eBook or print versions become available.
Dean’s blog, Zero Intelligence Agents, makes me confident what appears will be high quality.
Curious that O’Reilly doesn’t mention that it is entirely in R. That to me would be a selling point.