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Featured Results

Lecture 9: Phonology, Part 2

Lecture 13: Lp Space Theory

Lecture 16: Fejer’s Theorem and Convergence of Fourier Series

Unit 2: The Forecast is ‘Always’ wrong, Video 2: Demand Forecasts

Unit 2: The Forecast is "Always" wrong, Video 4: Common Forecasting Process Inherently Flawed

Lecture 25: Power Series and the Weierstrass Approximation Theorem

Special Lecture: F-22 Flight Controls

1. Introduction to the Human Brain

2. Data Structures and Dynamic Arrays

4. Hashing

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How to Speak

12. The Einstein field equation.

33. Bacteria and Antibiotic Resistance

27. Visualizing Life – Dyes and Stains

31. Immunology 2 – Memory, T cells, & Autoimmunity

Lecture 1A: Overview and Introduction to Lisp

4. Assembly Language & Computer Architecture

22. Gradient Descent: Downhill to a Minimum

29. Singular Value Decomposition

26. Chernobyl — How It Happened

1. Radiation History to the Present — Understanding the Discovery of the Neutron

Lecture 9A: Register Machines

1. What is Computation?

16.2.2 Basics of Virtual Memory

16.2.4 Building the MMU

35. Finding Clusters in Graphs

25. Stochastic Gradient Descent

4. Eigenvalues and Eigenvectors

6. Recursion and Dictionaries

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Featured Results

Lecture 9: Phonology, Part 2

Lecture 13: Lp Space Theory

Lecture 16: Fejer’s Theorem and Convergence of Fourier Series

Unit 2: The Forecast is ‘Always’ wrong, Video 2: Demand Forecasts

Unit 2: The Forecast is "Always" wrong, Video 4: Common Forecasting Process Inherently Flawed

Lecture 25: Power Series and the Weierstrass Approximation Theorem

Special Lecture: F-22 Flight Controls

1. Introduction to the Human Brain

2. Data Structures and Dynamic Arrays

4. Hashing

1. Introduction for 15.S12 Blockchain and Money, Fall 2018

How to Speak

12. The Einstein field equation.

33. Bacteria and Antibiotic Resistance

27. Visualizing Life – Dyes and Stains

31. Immunology 2 – Memory, T cells, & Autoimmunity

Lecture 1A: Overview and Introduction to Lisp

4. Assembly Language & Computer Architecture

22. Gradient Descent: Downhill to a Minimum

29. Singular Value Decomposition

26. Chernobyl — How It Happened

1. Radiation History to the Present — Understanding the Discovery of the Neutron

Lecture 9A: Register Machines

1. What is Computation?

16.2.2 Basics of Virtual Memory

16.2.4 Building the MMU

35. Finding Clusters in Graphs

25. Stochastic Gradient Descent

4. Eigenvalues and Eigenvectors

6. Recursion and Dictionaries

5. Concept Selection and Tradespace Exploration

12. Searching and Sorting

11. Understanding Program Efficiency, Part 2

21. Generalized Linear Models

2. Introduction to Statistics (cont.)

11. Lifecycle Management

6. Design Definition and Multidisciplinary Optimization

8. Sampling and Standard Error

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