Note: This serves as a refresher for myself when I need to reacquaint myself with ML

Before getting into the details of what is Machine Learning, it’s better to discuss potential use cases in order to prioritize efficacy & outcomes (entendre partially intended).

1. Example use cases for Machine Learning

a. Mining data sets for [actionable] insights.

b. Building Applications to Extract Automated Insights too computationally dense for a human (Computer Vision and NLP) e.g. Google’s AI assistant.

c. Designing self-customizing programs that provide recommendations and adapt based on past experiences. e.g. Netflix.

d. Understanding human learning itself (via Deep Learning & Artificial Intelligence) e.g. …


Ari M Nazir

Crypto/Entrepreneur, White House, UVa, UMich

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