How I think about Logistic Regression - Technical Interlude

  Рет қаралды 1,191

How I think about

How I think about

Күн бұрын

The Math Behind Logistic Regression.
Negative Log Likelihood 00:00-05:25
Gradient Descent Step by Step 05:26-07:20
Scale Your Data 07:21-09:09
Part 1: • How I think about Logi...
Part 2: • How I think about Logi...
Visualization and animation code on GitHub: github.com/gallettilance/repr...
Thumbnail by / endless.yarning
#mathformachinelearning #gradientdescent #machinelearning #datascience #datasciencebasics #datasciencetutorial #machinelearningalgorithm #logisticregression #machinelearningbasics #maths #softmax #multinomial #classification #linearregression #probability #probabilitytheory #education #math #machinelearningtutorialforbeginners #machinelearningtutorial #neuralnetworks

Пікірлер: 11
@stunks6147
@stunks6147 6 күн бұрын
Excited to see how you explain neural networks! Keep up the good work!
@howithinkabout
@howithinkabout 6 күн бұрын
Thank you! Part 3 will be out next (hopefully in the next week) and right after that will be a neural network series
@mie5953
@mie5953 3 сағат бұрын
Nice video, keep going! On the next step, gradients will be small, [-0.12, 0.1, -0.001], so we won't get a large improvement. The weights after the next step will be [0.574, -2.302, 2.927], and NLL here equals 0.0476, which is again smaller than the previous one (0.0486). Step: 0, NLL: 0.5707 W = [1.0000, -2.0000, 3.0000] grad = [4.3791, 2.9224, 0.7301] Step: 1, NLL: 0.0486 W = [0.5621, -2.2922, 2.9270] grad = [-0.1198, 0.1043, -0.0016] Step: 2, NLL: 0.0476 W = [0.5741, -2.3027, 2.9271] grad = [-0.0801, 0.1181, 0.0038] ... (a few hundreds of steps later) Step:999, NLL: 0.0024 W = [1.4923, -4.3960, 2.8096] grad = [-0.0029, 0.0067, 0.0004]
@user-mj5nx8yf9b
@user-mj5nx8yf9b 21 күн бұрын
Another goated video! Keep it up!
@jakesimonds5051
@jakesimonds5051 Ай бұрын
These videos are fantastic. Your pacing is (for me at least) excellent, the illustrations are awesome, and you're doing a fantastic job of job of motivating everything. Keep it up!!!!!
@howithinkabout
@howithinkabout Ай бұрын
So glad to hear it! Thanks for the kind and encouraging words :) I'll do my best!
@frannydonington9925
@frannydonington9925 Ай бұрын
Another great video!! Such good quality explanations. A really great study tool :)
@howithinkabout
@howithinkabout Ай бұрын
thank you so much!! 🙏
@ssingh7317
@ssingh7317 Ай бұрын
Keep this Machine Learning concepts series videos :)
@howithinkabout
@howithinkabout Ай бұрын
I got big plans for this channel :) but let me know what you would like to learn about!
@ssingh7317
@ssingh7317 Ай бұрын
@@howithinkabout I would love to watch mathematics for better understanding of algorithms.
How I think about Logistic Regression - Part 1
12:36
How I think about
Рет қаралды 2,9 М.
How Stable Diffusion Works (AI Image Generation)
30:21
Gonkee
Рет қаралды 142 М.
БАБУШКИН КОМПОТ В СОЛО
00:23
⚡️КАН АНДРЕЙ⚡️
Рет қаралды 17 МЛН
Spot The Fake Animal For $10,000
00:40
MrBeast
Рет қаралды 186 МЛН
I'm Excited To see If Kelly Can Meet This Challenge!
00:16
Mini Katana
Рет қаралды 18 МЛН
50 YouTubers Fight For $1,000,000
41:27
MrBeast
Рет қаралды 210 МЛН
We Need to Rethink Exercise - The Workout Paradox
12:00
Kurzgesagt – In a Nutshell
Рет қаралды 6 МЛН
All Learning Algorithms Explained in 14 Minutes
14:10
CinemaGuess
Рет қаралды 206 М.
How I think about Logistic Regression - Part 2
7:24
How I think about
Рет қаралды 574
How I think about Gradient Descent
5:31
How I think about
Рет қаралды 1,5 М.
Learn Statistical Regression in 40 mins! My best video ever. Legit.
40:25
Watching Neural Networks Learn
25:28
Emergent Garden
Рет қаралды 1,2 МЛН
But what is a convolution?
23:01
3Blue1Brown
Рет қаралды 2,5 МЛН
Support Vector Machines: All you need to know!
14:58
Intuitive Machine Learning
Рет қаралды 139 М.
Что делать если в телефон попала вода?
0:17
Лена Тропоцел
Рет қаралды 3,2 МЛН
8 Товаров с Алиэкспресс, о которых ты мог и не знать!
49:47
РасПаковка ДваПаковка
Рет қаралды 171 М.