Ultimate Machine Learning Course (Recordings only)

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1. Github repo
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12 lessons
1. [W4] Session 1: Numpy Primitives
2. [W4] Session 2: Pytorch Primitives
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7 lessons
36 lessons
1. [W14] Session 1: Pandas, Data Analysis & Visualization
2. [W14] Session 2: Pytorch Primitives
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33 lessons
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10 lessons
1. [W56] Session 1: Introduction to Bandits
2. [W56] Session 2: Strategies of Exploration – Intuition (Explore-Then-Commit, epsilon-greedy, UCB, Thompson Sampling) + Contextual Bandits
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3 lessons
1. Session 1: Mechanism Design Basics – Science of Rule Making & Payment Incentives
2. Session 2: Mechanism Design – Myerson's Lemma and its application to Sponsored Search Auctions
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1. Session 1:
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1. Session 1:
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14 lessons
1. Looking Forward [Placeholder]
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[W2] session 7b: classmethod & staticmethod clarification

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