Channel Avatar

The Data Science Channel @UCkp0ctv0vCNfh7i7D9GnHhw@youtube.com

1.93K subscribers - no pronouns set

Channel focused on Data Science, Machine Learning, AI, Progr


04:26
Overfitting vs Underfitting and the Bias Variance Tradeoff - Gael Varoquaux creator of Scikit Learn
28:03
Decoding approach to Machine Learning for fMRI - Gael Varoquaux creator of Scikit Learn
12:33
Encoding approach to Machine Learning for fMRI - Gael Varoquaux creator of Scikit Learn
05:03
Machine Learning for fMRI - Gael Varoquaux creator of Scikit Learn
03:30
nilearn package for brain imaging - Gael Varoquaux creator of Scikit Learn
06:49
Machine Learning for Brain Imaging - Gael Varoquaux creator of Scikit Learn
04:48
Learning Scikit Learn Start Here - Gael Varoquaux creator of Scikit Learn
13:09
Unsupervised Learning in Scikit Learn - Gael Varoquaux creator of Scikit Learn
13:15
Measuring model performance scikit learn - Gael Varoquaux creator of Scikit Learn
07:37
LangChain Modules
09:58
Regression models in Scikit Learn - Gael Varoquaux creator of Scikit Learn
15:05
VectorBT for Quantitative Analysis in Python
00:39
Neuroscience Applications of Generative Adversarial Networks - Ian Goodfellow GAN inventor
30:36
TA lib with Python and Pandas
16:00
Computer Vision with Scikit Learn - Gael Varoquaux creator of Scikit Learn
12:13
Darts - Time Series Forecasting in Python
02:51
Machine Learning Interpretability applications for Generative Adversarial Networks - Ian Goodfe
17:29
Langchain Cookbook Overview
14:34
LangChain Quickstart
09:17
Mistral 7B from Mistral.AI - FULL WHITEPAPER OVERVIEW
11:46
Supervised Learning models in Scikit Learn - Gael Varoquaux creator of Scikit Learn
01:07
Machine Learning Fairness with Generative Adversarial Networks - Ian Goodfellow GAN inventor
43:21
Intro to LangChain - Full Documentation Overview
02:28
Core Principles of Scikit Learn - Gael Varoquaux creator of Scikit Learn
03:16
Generative Adversarial Networks for Domain Adaptation - Ian Goodfellow GAN inventor
07:09
What is machine learning? - Gael Varoquaux creator of Scikit Learn
03:40
Central Moment Statistics
03:31
Generative Adversarial Network Applications for Data Privacy - Ian Goodfellow GAN inventor
37:31
Scaling Matrix Factorization for Stochastic Optimization - Gael Varoquaux creator of Scikit Learn
01:57
Virtual Adversarial Training with Generative Adversarial Networks - Ian Goodfellow GAN inventor
04:51
Gradient Descent vs Stochastic Gradient Descent vs Batch Norm - Gael Varoquaux ScikitLearn creator
01:06
Machine Learning on Small Data with Generative Adversarial Networks - Ian Goodfellow GAN inventor
04:46
Python Data Science Ecosystem - Gael Varoquaux creator of Scikit Learn
02:07
High Accuracy Machine Learning Applications for GANs - Ian Goodfellow GAN inventor
33:27
Better Architectures for Neural Networks - Chris Manning vs Yann LeCun
02:40
Interfaces for Vertex AI
18:01
Building Data Science Applications - Gael Varoquaux creator of Scikit Learn
03:10
MLOps in Vertex AI in 3 minutes
02:44
Adversarial Reinforcement Learning - Ian Goodfellow GAN inventor
21:52
Logic and Symbolic NLP - Chris Manning Stanford CoreNLP
13:49
Building Software in Research Science - Gael Varoquaux creator of Scikit Learn
01:38
Adversarial Training as a MiniMax problem - Ian Goodfellow GAN inventor
22:33
Deep Learning for NLP Composing Concepts - Chris Manning Stanford CoreNLP
05:01
Building Innovation with Software - Gael Varoquaux creator of Scikit Learn
03:57
Adversarial Deep Learning Examples - Ian Goodfellow GAN inventor
23:26
NLP for Conversational AI - Chris Manning Stanford CoreNLP
02:38
What is Data Science? Science vs Data Science - Gael Varoquaux creator of Scikit Learn
03:00
Self Attention Generative Adversarial Network - Ian Goodfellow GAN inventor
18:21
How does BERT work? - Chris Manning Stanford CoreNLP
04:24
Vertex AI and the ML Workflow
01:39
Intro to Vertex AI - 100 seconds
03:03
Vision for the future of Scikit Learn - Gael Varoquaux creator of SKLearn
01:44
Generative Adversarial Networks for custom Personalized Manufacturing - Ian Goodfellow GAN inventor
06:53
Introduction to Transformers and BERT - Chris Manning Stanford CoreNLP
04:37
Applications of Missing Value Imputation - Gael Varoquaux creator of Scikit Learn
00:55
DNA Gene Sequencing applications of GAN networks - Ian Goodfellow GAN inventor
12:15
History of Language Modelling for NLP - Chris Manning Stanford CoreNLP
04:39
Neural missing value imputation for Machine Learning - Gael Varoquaux creator of Scikit Learn
00:54
CycleGAN Generative Adversarial Network - Ian Goodfellow GAN inventor
09:41
Future of NLP - Chris Manning Stanford CoreNLP