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0:01:56

Allotropes Problem Chemistry Olympiad

0:08:10

Calculus - Epsilon-Delta Definition of Limit

0:20:23

Quantum research at NYU

0:11:32

Introduction to Qubits

0:14:04

Calculus - Intro to Limits

0:11:32

Calculus - Rates of Change

0:10:55

Introduction to Quantum Computing

0:09:41

Introduction to Calculus

0:07:46

Quantum Mechanics Overview

0:14:14

Linear Algebra - Elementary Row Operations

0:13:19

Linear Algebra - Matrix Notation and Augmented Matrices

0:13:11

Linear Algebra Introduction Part 1

0:07:52

Linear Algebra Introduction Part 2

0:32:43

PyTorch - What is Training and Testing Data?

0:26:57

Optimizers in PyTorch

0:29:07

What is Gradient Accumulation and How do we Address it in PyTorch?

0:25:50

PyTorch's AutoGrad Explained

0:42:28

Learning Rate: Overshooting and Overcorrecting Parameter Updates

0:23:16

Gradient Descent in PyTorch Explained

0:38:54

A Linear Example: Estimating Parameters in PyTorch

0:23:59

Manual Implementation of Linear Model: An Intuitive Understanding

0:42:41

Linear model: What are Parameters and Loss Functions?

0:23:43

Machine Learning Process Explained

0:15:12

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