NLP Lecture 3(c) - Logistic Regression

preview_player
Показать описание
An overview of how logistic regression works and a brief discussion of its multinomial and ordinal forms.
  1. Prof. Ghassemi Lectures and Tutorials
Рекомендации по теме
NLP Lecture 3(c) 0:28:18

NLP Lecture 3(c) - Logistic Regression

NLP Lecture 3(b) 0:14:15

NLP Lecture 3(b) - Naive Bayes

Logistic Regression in 0:03:58

Logistic Regression in 3 Minutes

Logistic Regression 1 0:05:25

Logistic Regression 1 Generative and Discriminative Classifiers

lecture 4 : 0:39:22

lecture 4 : NLP Logistic Regression

Natural Language Processing 0:21:44

Natural Language Processing (NLP) - Basics - Part 3: Logistics Regression

Logistic Regression 3 0:05:10

Logistic Regression 3 A Sentiment Example

Neural Networks Explained 0:04:32

Neural Networks Explained in 5 minutes

NLP Lecture 5(c) 0:20:13

NLP Lecture 5(c) Recurrent Neural Networks

NLP Lecture4(b) - 0:09:09

NLP Lecture4(b) - Gradient Descent

But what is 0:18:40

But what is a neural network? | Deep learning chapter 1

Code review: Paper 0:20:48

Code review: Paper classification NLP Logistic Regression

NLP Lecture 5 0:00:35

NLP Lecture 5 - Overview of Sequence Modeling Lecture

NLP DisasterTweets 0:20:25

NLP DisasterTweets

NLP Intuition in 0:03:03

NLP Intuition in machine learning lecture #93

13 NLP- Word-embedding, 1:48:02

13 NLP- Word-embedding, Logistic Regression, NN and Neural Language Models

All Machine Learning 0:16:30

All Machine Learning algorithms explained in 17 min

Support Vector Machine 0:02:19

Support Vector Machine (SVM) in 2 minutes

PyData Tel Aviv 0:29:23

PyData Tel Aviv Meetup: Deep Learning for Named Entity Recognition - Kfir Bar

Theoretical analysis of 1:17:44

Theoretical analysis of unsupervised learning (Lecture 3) by Sanjeev Arora

Sujit Pal: Building 0:34:31

Sujit Pal: Building Named Entity Recognition Models Efficiently Using NERDS | PyData LA 2019

Machine Learning 1: 1:29:49

Machine Learning 1: Lesson 9

[PURDUE MLSS] Large-scale 0:45:19

[PURDUE MLSS] Large-scale Machine Learning and Stochastic Algorithms by Leon Bottou (Part 3/6)

Deep Learning for 1:03:50

Deep Learning for NLP - Lecture 01

Комментарии
Автор

Thank you for this. I just discovered your page. I will go back to the first class so I can truly follow. This is easier to understand.

oluwalekeoni
welcome to shbcf.ru