Prof. Guttag continues the conversation about statistical fallacies and summarizes the take-aways of the course.

Lecture 15: Statistical Sins and Wrap Up

Prof. Guttag finishes discussing classification and introduces common statistical fallacies and pitfalls.

Lecture 14: Classification and Statistical Sins

Prof. Guttag introduces supervised learning with nearest neighbor classification using feature scaling and decision trees.

Lecture 13: Classification

Lecture 12: Clustering

In this lecture, Prof. Guttag introduces machine learning and shows examples of supervised learning using feature vectors.

Lecture 11: Introduction to Machine Learning

Prof. Grimson continues on the topic of modeling experimental data.

Lecture 10: Understanding Experimental Data (cont

Prof. Grimson talks about how to model experimental data in a way that gives a sense of the underlying mechanism and to predict behavior in new settings.

Lecture 9: Understanding Experimental Data

Prof. Guttag discusses sampling and how to approach and analyze real data.

Lecture 8: Sampling and Standard Error

Prof. Guttag continues discussing Monte Carlo simulations.

Lecture 7: Confidence Intervals

Prof. Guttag discusses the Monte Carlo simulation, Roulette

Lecture 6: Monte Carlo Simulation

Introduction to Computational Thinking and Data Science

First timer interested in data science with self taught coding experience, and so far I am loving this course. Great insight, simple to understand, and moves at a nice pace. So glad I&#39;ve found this!

Great course

The best podcast episodes on physical health. Episodes talk about your diet, sleep, exercise and all the things that people do to improve their physical health and live a healthier life. This topic is for everyone, with applications in all of our everyday lives. Add episodes you're interested into your queue below!

Best Episodes on Physical Health & Your Body

The best podcast episodes of anyone with an interesting story. With famous guests like Obama, LeBron James, Drake, Oprah Winfrey, Richard Branson, Michelle Obama, Serena Williams, to anyone who has a unique and interesting story to tell. Add episodes you're interested into your queue below!