filmov
tv
A friendly introduction to linear algebra for ML (ML Tech Talks)
Показать описание
In this session of Machine Learning Tech Talks, Tai-Danae Bradley, Postdoc at X, the Moonshot Factory, will share a few ideas for linear algebra that appear in the context of Machine Learning.
Chapters:
0:00 - Introduction
1:37 - Data Representations
15:02 - Vector Embeddings
31:52 - Dimensionality Reduction
37:11 - Conclusion
Resources:
Chapters:
0:00 - Introduction
1:37 - Data Representations
15:02 - Vector Embeddings
31:52 - Dimensionality Reduction
37:11 - Conclusion
Resources:
0:38:27
A friendly introduction to linear algebra for ML (ML Tech Talks)
0:31:05
Linear Regression: A friendly introduction
0:30:49
A Friendly Introduction to Machine Learning
0:33:20
A friendly introduction to Deep Learning and Neural Networks
0:10:45
Introduction to Linear Algebra: Systems of Linear Equations
0:10:32
The Best Way To Learn Linear Algebra
0:09:52
Vectors | Chapter 1, Essence of linear algebra
0:30:58
Support Vector Machines (SVMs): A friendly introduction
0:10:59
Linear transformations and matrices | Chapter 3, Essence of linear algebra
0:12:58
What's the big idea of Linear Algebra? **Course Intro**
0:10:12
Linear Algebra - Lecture 1 - Introduction
0:32:46
A friendly introduction to Bayes Theorem and Hidden Markov Models
0:07:35
Linear Equations Introduction
0:45:19
Logistic Regression and the Perceptron Algorithm: A friendly introduction
0:22:44
A friendly introduction to Recurrent Neural Networks
0:19:47
Linear Algebra 6th Edition by Gilbert Strang - Any Good or Overpriced
0:00:59
Why is Linear Algebra Fascinating?
0:12:59
Our new LINEAR 5 MK II SERIES: Introduction video from the ISE 2023
0:20:50
Introduction to Linear Equations (TTP Video 5)
1:51:13
Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra
0:04:28
Linear Algebra 1 | Introduction [dark version]
0:00:29
Harvia Linear 22 GreenFlame - Environmentally friendly wood burning heater
0:43:39
Linear Programming 1: An introduction
0:31:48
Linear Algebra: 001 Introduction to the Course
Комментарии