Machine Learning: A Probabilistic Perspective by Kevin Murphy [be sure to get the fourth printing; there were many typos in earlier versions] Bayesian cognitive modeling: A practical course by Michael ...

Programming languages—think of it as a new programming paradigm; AI and machine learning; Probability and statistics; There are two ways to view probabilistic programming language.

Probability and statistics: Formal characterization of probability (conditional probability, Bayes’ rule, likelihood, ... Applying machine learning algorithms and libraries: ...

Skoff and his founding team, who previously built machine learning software for financial companies like Capital One, are realistic about Live A.I.’s impact on fans during the 2016-2017 season.

Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the ...