Chapter 6. The .NET Way
“Artificial intelligence would be the ultimate version of Google. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now.”
—Larry Page, Google cofounder
In the first part of the book we analyzed the general steps it takes to build a machine learning solution. Any solution consists of a deliverable model that results from training an algorithm on a sufficiently large dataset. The process of selecting and adapting the dataset is by far the most time-consuming step and the one with the greatest impact on the final solution. It is estimated that data preparation in a real-life scenario can consume up to 80 percent of the whole project budget. In fact, data preparation ...
Get Introducing Machine Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
