Beginner Lessons

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

6: Deep Learning for Natural Language – Embeddings

7: Deep Learning for Natural Language – Transformers

11: Generative AI – Text-to-Image Models

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

Lecture 16: Data Compression and Shannon’s Noiseless Coding Theorem

Lecture 9: Chernoff Bounds

Lecture 18: Transmitting Information Reliably over a Noisy Channel & Shannon’s Noisy Coding Theorem

Lecture 14: Zero-Sum Games

Lecture 5: More Counting and Generating Functions

Lecture 10: Modular Arithmetic

Lecture 12: Introduction to Linear Programming

“Learning for Life: How Curiosity Shapes Well-Being” with Bia Adams

Lecture 4: Linear Algebra (cont.); Probability Theory

Lecture 23: Introduction to Machine Learning

Lecture 1, Part I: Introduction of the Class

Lecture 1, Part II: Introduction of Financial Markets, Financial Terms and Concepts

Lecture 24: Stochastic Calculus

Lecture 7: Linear Rates, Products, and Models

Lecture 12: Time Series Analysis

Lecture 6: Stochastic Processes I (cont.); Regression Analysis

Lecture 02: Fundamental Methods of Projection Theory

Lecture 22: Sharp Projection Theorems, Part 1: Introduction and Beck's Theorem.

Lecture 01: Introduction to Projection Theory

Lecture 15: The Bourgain Projection Theorem, Part 2

Lecture 05: The Large Sieve

Lecture 20: Homogeneous Dynamics, Part 1

Lecture 10: Sum-Product Theory

Lecture 14: The Bourgain Projection Theorem Part 1 (over the Real Numbers)

Lecture 12: The Bourgain-Katz-Tao Projection Theorem

Lecture 17: Random Walks on Finite Groups, Part 1

Session 5-3: Introduction to Design of GENs

Session 8-2: Framingham, Massachusetts UTEN Pilot Project Overview

Session 6-2: Emerging Code & Standards for Ambient Temperature Loops

Session 8-1: ATL District Systems Overview

8-4: Intro to the MIT Thermal Energy Networks Plan for Rapid, Cost-Effective Campus Decarbonization

Session Introduction: Geothermal Energy Networks: Transforming Our Thermal Energy System

Session 7-2: Learning from Geothermal Energy Networks

Session 6-3: Introduction to Drilling Geothermal Boreholes

Session 5-1: Introduction to Geothermal Heat Pumps

Class 15 Video: Encoding Corpora and Voice Leading

Video 7b: Streams as Hierarchies: Types of Containers in music21

Video 22b: Problem Sets 7-8: Working and Composing with Scales, Chords, and Roman Numerals

Video 7a: Unlocking Duration and Note Objects in music21

Video 12d: How to Work with Ties in music21

Class 27 Video: Feature Extraction and Machine Learning

Video 7c: music21 Streams, Corpus, and Meter Features