Schedule
Future Classes
The future lecture topics subject to change. The allotted readings should be final but we reserve the right to change them up to a week before) the corresponding assignment is due.
The link to slides for future lectures are not “live.” Expect the lecture slides to be up within two days of the actual lecture.
Introduction
Probability
- Wed, Jan 28
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- Recitation Setting Up python on your machine
- Mon, Feb 2
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- Lecture Sets and Set Notation
- PN, 1.0-1.2. Seeing Theory, Ch. 2
- Wed, Feb 4
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- Lecture Intro to Probability
- PN, 1.3-1.4.0
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- Recitation Introduction to Numpy
- Mon, Feb 9
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- Lecture Conditional Probability
- PN, 1.4.4
- Wed, Feb 11
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- Lecture Independence, Quiz 1 Review
- PN, 1.4.1
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- Recitation Quiz 1
- Sets and (Conditional) Probability
- Mon, Feb 16
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- Lecture Bayes Rule and RVs
- PN, 1.4.3
- Wed, Feb 18
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- Lecture Random Variables, cont.
- PN, 3
-
- Recitation TBD
-
- Project Submission 1 Due
- Visualizing probability in python
- Mon, Feb 23
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- Lecture Project Interviews
- Wed, Feb 25
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- Lecture Random Variables, Review of Probability
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- Recitation Quiz 2
- Random Variables and Their Distributions
Linear Algebra
- Mon, Mar 2
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- Lecture (+ing and *ing) Vectors
- BV, 1.1-1.4
- Wed, Mar 4
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- Lecture Vector Operations
- BV, 3.1-3.4, 5.1-5.3
- Recitation TBD
- Mon, Mar 9
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- Lecture Vector Operations cont., Linear Combinations
- BV, 6
- Wed, Mar 11
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- Recitation Quiz 3
- Vectors and (Basics of) Matrices
- Mon, Mar 16
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- No Lectures
- Spring Break
- Wed, Mar 18
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- No Lectures
- Spring Break
- Mon, Mar 23
- Wed, Mar 25
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- Recitation Neural Networks
- Mon, Mar 30
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- Project Submission 2 Due
- Playing with matrices in python
- Wed, Apr 1
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- Lecture Project Interviews
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- Recitation Matrix Decomposition
- Mon, Apr 6
- Wed, Apr 8
- Recitation Quiz 4
Modeling and Optimization
- Mon, Apr 13
- Wed, Apr 15
- Recitation Canceled!
- Mon, Apr 20
- Wed, Apr 22
- Recitation Project 3 Overview
- Mon, Apr 27
- Wed, Apr 29
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- Recitation Quiz 5
- Modeling and Optimization
Wrap Up
- Mon, May 4
- Lecture Language Modeling and Course Reflection
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- Project 3 Submission Due
- Neural Networks in Python