This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The... Læs mere
A clear-eyed look at how AI can complement (rather than eliminate) human jobs, with real-world examples from companies that range from Netflix to Walmart.
This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as... Læs mere
Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists... Læs mere
How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product.