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MIT OpenCourseWare · Education

MIT OpenCourseWare

A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)

Episodes

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6.3.3 Predictive Diagnosis - Video 2: The Data

13 Dec 2018
5m
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8.2.1 An Introduction to Linear Optimization - Video 1: Introduction

13 Dec 2018
3m
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2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored

13 Dec 2018
10m
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6.2.7 An Introduction to Clustering - Video 4: Computing Distances

13 Dec 2018
6m
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3.3.1 The Framingham Heart Study - Video 1: Evaluating Risk Factors to Save Lives

13 Dec 2018
4m
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4.2.9 An Introduction to Trees - Video 5: Random Forests

13 Dec 2018
7m
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7.2.7 An Introduction to Visualization - Video 4: Basic Scatterplots Using ggplot

13 Dec 2018
8m
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4.3.17 Healthcare Costs - Video 9: Results

13 Dec 2018
3m
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2.2.9 An Introduction to Linear Regression - Video 5: Understanding the Model

13 Dec 2018
12m
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5.4.8 R5. Predictive Coding - Video 7: The ROC Curve

13 Dec 2018
3m
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4.4.2 R4. Regression Trees - Video 1: Boston Housing Data

13 Dec 2018
4m
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2.2.3 An Introduction to Linear Regression - Video 2: One-variable Linear Regression

13 Dec 2018
8m
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8.2.6 An Introduction to Linear Optimization - Video 4: Solving the Problem

13 Dec 2018
6m
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7.3.1 Visualization for Law and Order - Video 1: Predictive Policing

13 Dec 2018
4m
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1.4.6 R1. Understanding Food - Video 5: Adding Variables

13 Dec 2018
5m
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9.3.1 eHarmony - Video 1: The Goal of eHarmony

13 Dec 2018
3m
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6.2.15 An Introduction to Clustering - Video 8: The Analytics Edge of Recommendation Systems

13 Dec 2018
3m
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9.3.5 eHarmony - Video 3: Predicting Compatibility Scores

13 Dec 2018
3m
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1.4.3 R1. Understanding Food - Video 2: Working with Data in R

13 Dec 2018
4m
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2.3.5 Sports Analytics - Video 3: Predicting Runs

13 Dec 2018
5m
Page 141

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