Все публикации

0:28:53

Introduction to Machine Learning: Feed-Forward NN

0:17:06

Introduction to Machine Learning: NN Time-Stepper

0:16:44

Introduction to Machine Learning: Stochastic Gradient Descent

0:17:42

Introduction to Machine Learning: Backpropagation

0:19:20

Introduction to Machine Learning: Neural Network Architectures

0:26:00

Introduction to Machine Learning: Neural Networks

0:22:41

Introduction to Machine Learning: Support Vector Machines

0:15:01

Introduction to Machine Learning: Supervised learning algorithms

0:15:37

Introduction to Machine Learning: Classification Trees

0:30:48

Introduction to Machine Learning: Unsupervised learning algorithms

0:30:54

Introduction to Machine Learning: Supervised versus unsupervised learning

0:25:48

Scientific Computing: Time-Stepping Schemes

0:06:04

Scientific Computing: Time-Stepping Implementation

0:22:18

Scientific Computing: Time-Stepping Errors and Stability

0:23:07

Scientific Computing: Numerical Integration

0:14:15

Scientific Computing: Numerical Differentiation Error Analysis

0:26:39

Scientific Computing: Numerical Differentiation

0:19:47

Introduction to Python: Root Finding Algorithm

0:12:42

Introduction to Python: Logic FOR/IF

0:22:11

Introduction to Python: Matrices & Vectors

0:35:18

Common Task Framework for Science and Engineering

0:05:44

Portable Video Studio: ATEM software controls

0:03:40

Portable Video Studio: The results!

0:05:07

Portable Video Studio: Setting up studio