DataMListic - Invidious

DataMListic

Welcome to DataMListic (former WhyML)! On this channel I explain various ML concepts that I encounter in my learning journey. Enjoy the ride! ;)

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5:39

Cracking ML Interviews: Maximum Likelihood Estimation (Question 2)

DataMListic

Shared 4 hours ago

103 views

5:44

Cracking ML Interviews: Bayes Theorem Exercise (Question 1)

DataMListic

Shared 2 days ago

342 views

4:31

Simpson's Paradox - Explained

DataMListic

Shared 2 days ago

474 views

8:15

Frequentist vs Bayesian Thinking

DataMListic

Shared 5 days ago

1.4K views

2:03

L1 Regularization - ML Snippets

DataMListic

Shared 1 week ago

506 views

8:11

Kernel Density Estimation - Explained

DataMListic

Shared 1 week ago

1.5K views

1:09

t-SNE Intuition - ML Snippets

DataMListic

Shared 1 week ago

570 views

5:10

Accept-Reject Sampling - Explained

DataMListic

Shared 2 weeks ago

1K views

8:41

Dirichlet Distribution - Explained

DataMListic

Shared 2 weeks ago

1.8K views

1:47

Kernel Trick - ML Snippets

DataMListic

Shared 2 weeks ago

931 views

1:42

Cross-Entropy - ML Snippets

DataMListic

Shared 3 weeks ago

975 views

9:17

Markov Chain Monte Carlo (MCMC) - Explained

DataMListic

Shared 3 weeks ago

9K views

1:09

Bernoulli Distribution - ML Snippets

DataMListic

Shared 3 weeks ago

444 views

2:37

Gaussian Distribution - ML Snippets

DataMListic

Shared 4 weeks ago

574 views

5:27

Bayes' Theorem - Explained

DataMListic

Shared 1 month ago

973 views

1:15

Markov Chains - ML Snippets

DataMListic

Shared 1 month ago

769 views

4:49

Taylor Series - Explained

DataMListic

Shared 1 month ago

1.4K views

3:48

Linear Regression (Least Squared Errors) - Explained

DataMListic

Shared 1 month ago

768 views

4:13

Monte Carlo Simulation - Explained

DataMListic

Shared 1 month ago

4K views

4:42

Lagrange Multipliers - Explained

DataMListic

Shared 1 month ago

2.1K views

4:03

Variational Autoencoder - Explained

DataMListic

Shared 1 month ago

1.5K views

4:41

Central Limit Theorem - Explained

DataMListic

Shared 1 month ago

2K views

5:27

Degrees of Freedom - Explained

DataMListic

Shared 2 months ago

3.9K views

5:57

Qwen3 - Paper Walkthrough

DataMListic

Shared 2 months ago

1.2K views

5:31

Gamma Function - Explained

DataMListic

Shared 2 months ago

4.5K views

5:35

Variational Inference - Explained

DataMListic

Shared 2 months ago

5.2K views

8:01

Forward-Backward Algorithm | Hidden Markov Models Part 3

DataMListic

Shared 2 months ago

1.3K views

9:01

Magistral - Paper Walkthrough

DataMListic

Shared 2 months ago

1.5K views

8:21

Student's t-Distribution - Explained

DataMListic

Shared 2 months ago

2.7K views

3:57

Why Larger Language Models Do In-context Learning Differently? - Paper Walkthrough

DataMListic

Shared 2 months ago

639 views

8:36

DeepSeek-R1 - Paper Walkthrough

DataMListic

Shared 2 months ago

949 views

8:02

t-SNE - Explained

DataMListic

Shared 2 months ago

2.8K views

8:04

The Illusion of Thinking - Paper Walkthrough

DataMListic

Shared 2 months ago

5.7K views

5:18

Perception Encoder - Paper Walkthrough

DataMListic

Shared 3 months ago

1.3K views

5:15

SAM2: Segment Anything in Images and Videos - Paper Walkthrough

DataMListic

Shared 3 months ago

1.3K views

5:05

MMaDA: Multimodal Large Diffusion Language Models - Paper Walkthrough

DataMListic

Shared 3 months ago

1K views

5:12

Anthropic Claude 4 - System Card Walkthrough

DataMListic

Shared 3 months ago

773 views

4:52

Google's AlphaEvolve - Paper Walkthrough

DataMListic

Shared 3 months ago

2.6K views

10:28

The Viterbi Algorithm | Hidden Markov Models Part 2

DataMListic

Shared 3 months ago

3.7K views

5:53

Introduction to HMMs | Hidden Markov Models Part 1

DataMListic

Shared 4 months ago

4.2K views

5:44

An Introduction to Graph Neural Networks

DataMListic

Shared 4 months ago

10K views

9:33

Gaussian Processes

DataMListic

Shared 4 months ago

14K views

8:15

Bayesian Optimization

DataMListic

Shared 4 months ago

26K views

4:22

RBF Kernel Explained: Mapping Data to Infinite Dimensions

DataMListic

Shared 5 months ago

5.2K views

9:03

The Kernel Trick

DataMListic

Shared 5 months ago

12K views

8:07

The Curse of Dimensionality

DataMListic

Shared 5 months ago

8.1K views

4:27

Cross-Entropy - Explained

DataMListic

Shared 6 months ago

7.3K views

4:13

Why Neural Networks Need Random Weight Initialization

DataMListic

Shared 6 months ago

2.1K views

3:59

Dropout in Neural Networks - Explained

DataMListic

Shared 6 months ago

2.1K views

3:41

Real-World Challenges in Recommender Systems - Recommender Systems Part 3

DataMListic

Shared 6 months ago

1.7K views

4:11

Collaborative Filtering - Recommender Systems Part 2

DataMListic

Shared 7 months ago

2.4K views

3:38

Content-Based Recommendations - Recommender Systems Part 1

DataMListic

Shared 7 months ago

2.9K views

2:37

Why L1 Regularization Produces Sparse Weights (Geometric Intuition)

DataMListic

Shared 8 months ago

2.9K views

4:11

Overfitting vs Underfitting - Explained

DataMListic

Shared 8 months ago

4K views

4:24

Confidence Intervals Explained

DataMListic

Shared 8 months ago

4.4K views

3:45

Z-Test Explained

DataMListic

Shared 9 months ago

10K views

4:04

L1 vs L2 Regularization

DataMListic

Shared 9 months ago

17K views

5:36

Poisson Distribution - Explained

DataMListic

Shared 9 months ago

6.7K views

8:01

Basic Probability Distributions Explained: Bernoulli, Binomial, Categorical, Multinomial

DataMListic

Shared 10 months ago

2.4K views

9:12

T-Test Explained

DataMListic

Shared 10 months ago

15K views