Ask Julio to explain Machine Learning

Ask Julio (pronounced like this) is a series attempting to explain Machine Learning to the ordinary; to those who in high school questioned what math does in real life; to those who have seen a code screen only in movies; and also to those who hear the words artificial intelligence and imagine Arnold Schwarzenegger from The Terminator.

As to speak to the 99%, Julio, the lead character of the article series, steps into the shoes of a lot of professions to experience how they learn things. During this journey, he asks a critical question, ‘How can anything be “learned”?’

This series of articles hopes to inspire people to learn Machine Learning by demonstrating one key point — it’s easier done than said.

Topics Julio has already talked about…

Ask Julio about Regression: A property broker can teach ‘what is regression analysis’ better than most people. Let us try to learn about the most widely used technique from his story.

Julio plays sing-along — unraveling cross-validation: Cross-validation is a core concept of Machine Learning and is used in each and every modeling exercise. The roots of this widely practiced exercise can be found in basic logic, Julio realized it during a game of sing-along.

About the Author:

Deepesh Wadhwani, a Mechanical Engineer turned Data Scientist, has been associated with Data Analysis and Prediction for many years. He used to create Risk Prediction models for Wells Fargo Bank, and Pricing Models for Mitsubishi FUSO (Japan) before he pivoted his work on academics and started as Senior Faculty of Machine Learning and Data Science at International School of AI and Data Science. The cornerstone of his pedagogy is the effective translation of the Math (the primary language of ML algorithms) to run-of-the-mill arguments which enables all in the audience to connect with the complex algorithms. In his classes, he uses a blend of logical conclusions and live demonstrations to reinforce the learnings.