The Decision-Making Side of Machine Learning: Computational, Inferential, and Economic Perspectives

Title: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives
Date: Wednesday, March 25, 2020 2PM ET/11AM PT
Duration: 1 Hour

Speaker: Michael I. Jordan, University of California, Berkeley

Resources:
Tech Talk Registration
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions (Skillsoft Book, Free for ACM Members)
Data Analytics: Concepts, Techniques, and Applications (Skillsoft Book, Free for ACM Members)
Data Science and Machine Learning Series: Time Series Analysis (O’Reilly Video, Free for ACM Members)
The Deep Learning Revolution (Skillsoft Book, Free for ACM Members)
An Introduction to Probability and Statistical Inference (ScienceDirect Book, Free for ACM Members)
Introduction to Probability Models (ScienceDirect Book, Free for ACM Members)
Machine Learning for Decision Makers
(O’Reilly Book, Free for ACM Members)
Machine Learning for Finance (O’Reilly Book, Free for ACM Members)
Mathematical Statistics with Applications in R (Second Edition) (ScienceDirect Book, Free for ACM Members)

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