描述

Kevin Patrick Murphy

In this book, we will cover the most common types of ML, but from a probabilistic perspective.

Roughly speaking, this means that we treat all unknown quantities (e.g., predictions about the
future value of some quantity of interest, such as tomorrow’s temperature, or the parameters of some
model) as random variables, that are endowed with probability distributions which describe a
weighted set of possible values the variable may have.阅读更多.

按照数据工作岗位排列职业相关性

Probabilistic Machine Learning: An Introduction 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。