CodeEmporium - Channel

CodeEmporium

CodeEmporium

Mission: In the next 2 years, we aim to create comprehensive AI educational content to show you how fascinating the field is. In the process, I hope to make you a curious mind.

369 videos

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0:31

Can ChatGPT replace Google?

0:32

How many models does ChatGPT use?

0:44

How does ChatGPT produce different responses for same input?

0:53

ChatGPT in 60 seconds

17:56

Chat GPT Rewards Model Explained!

0:42

Why does ChatGPT generate 1 word at a time?

0:39

What is GPT in chatGPT?

0:35

What concepts should you understand to learn about ChatGPT?

0:34

What is ChatGPT?

10:28

ChatGPT - Explained!

1:00

Which machine learning models are most affected by curse of dimensionality?

0:43

Is the Curse of Dimensionality the same as overfitting?

0:57

How can we mitigate the curse of dimensionality?

0:48

What is the curse of dimensionality?

9:01

Curse of Dimensionality - EXPLAINED!

0:44

How does cross validation performance change with increase in number of folds K?

0:59

What is data leakage?

0:58

What are the different ways to perform data validation in machine learning?

0:56

Why do we need data validation in machine learning?

10:55

Cross Validation Explained!

0:58

Why Mean Squared Error is cool.

0:59

Why unbiased models aren't enough in machine learning

0:46

Bias Math in Machine Learning

0:48

Bias in Machine Learning

9:45

Bias Variance Tradeoff Explained!

0:59

Why is lasso coefficients usually 0, but not ridge

1:00

Bayesian analysis with Linear Regression

1:00

What is regularization trying to do?

0:53

What is regularization?

12:44

Regularization - Explained!

10:34

Logistic Regression - Is it Linear Regression?

13:04

Breaking Linear Regression

27:35

Probability for Machine Learning!

28:47

Probability Density Functions - EXPLAINED!

16:23

Probability Mass Functions - EXPLAINED!

16:55

Discrete & Continuous random variables

19:01

Probability Distribution Functions - EXPLAINED!

16:39

Random Variables - EXPLAINED!

27:49

Likelihood Estimation - THE MATH YOU SHOULD KNOW!

16:01

Jupyter notebooks are more powerful than you think

15:43

Transformer Embeddings - EXPLAINED!

17:51

Sentence Transformers - EXPLAINED!

21:44

Decision Trees are more powerful than you think

16:09

Causal Inference with Machine Learning - EXPLAINED!

0:52

Misunderstanding of Randomized Controlled Trials #shorts

0:59

When you read a graph WRONG! #shorts

15:32

Causal Inference - EXPLAINED!

1:00

The interview gone wrong #shorts

0:25

5 lessons you'll learn as a Data Scientist #shorts

12:02

Data Science Myths & Tips!

14:41

Most Googled Questions on Data Science

14:31

Data Science Career Ladder - EXPLAINED!

11:11

Data Science Interview #3 | 10 Questions

12:07

5 Data Science Myths you shouldn't believe

11:22

Data Scientist answers 15 Interview Questions

11:37

Data Scientist answers Most Google Questions on Machine Learning

15:26

Math you need as a Data Scientist

7:05

What you should do during a Data Science Internship

21:44

Data Scientist answers 30 Data Science Interview questions

14:57

5 Probability Distributions you should know as a Data Scientist

11:14

5 concepts of A/B testing you should know as a Data Scientist

12:00

5 Python Libraries you need for Data Science

21:51

SQL you need as a Data Scientist

9:29

Running Simulations as a Data Scientist | Monte Carlo

5:31

How to be a Data Scientist | from a Data Scientist

26:46

How a Data Scientist fights fraud (with code!)

10:01

How you can learn ANYTHING!

17:08

The Stock Market - Can we predict it?

29:14

A Guide to A/B Testing as a Data Scientist!

28:18

How to run A/B Tests as a Data Scientist!

1:00

Data Scientist Noob Vs Pro #shorts

0:59

If optimisers were hikers #shorts

0:58

If Machine Learning models were people

0:56

Which Machine Learning model should I use? #shorts

13:07

Breaking down Google Maps with Neural Networks!

15:00

Understand ANY Machine Learning Model

20:26

Preprocessing data for Machine Learning - Deep Dive

35:28

BERT for Topic Modeling - EXPLAINED!

43:04

Let's build a Music Recommender!

18:47

Model Evaluation - EXPLAINED!

28:22

Time Series Forecasting with Xgboost

12:29

Quantile Regression - EXPLAINED!

14:32

How you SHOULD code Machine Learning

15:20

Why Logistic Regression DOESN'T return probabilities?!

13:17

Expectations with Machine Learning

13:04

How would a Data Scientist analyze Customer Churn?

13:35

How does a Data Scientist Fight FRAUD?

10:01

Few Shot Learning - EXPLAINED!

13:52

Time Series Forecasting with Machine Learning

9:00

Are Neural Networks Intelligent?

6:07:30

MLconfEU 2020: Machine Learning Conference for Software Engineers

1:45

We're hosting a Machine Learning Conference!

12:10

What do filters of Convolution Neural Network learn?

15:54

Transformer Neural Net makes music! (JukeboxAI)

13:19

ConvNets Scaled Efficiently

11:37

BERT Neural Network - EXPLAINED!

8:20

How do GPUs speed up Neural Network training?

9:44

Why use GPU with Neural Networks?

12:43

Data Scientist Answers Interview Questions

10:05

Activation Functions - EXPLAINED!