Tubidy
    Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction

    Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction

    37:22 |
    Download MP3

    Related Videos

    What are Transformer Models and how do they work? 44:26

    What are Transformer Models and how do they work?

    The Discrete Fourier Transform 17:27

    The Discrete Fourier Transform

    Serrano.Academy - The art of understanding 0:42

    Serrano.Academy - The art of understanding

    The Attention Mechanism in Large Language Models 21:02

    The Attention Mechanism in Large Language Models

    The math behind Attention: Keys, Queries, and Values matrices 36:16

    The math behind Attention: Keys, Queries, and Values matrices

    Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models 15:31

    Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models

    State Space Models (SSMs) and Mamba 26:06

    State Space Models (SSMs) and Mamba

    A friendly introduction to Bayes Theorem and Hidden Markov Models 32:46

    A friendly introduction to Bayes Theorem and Hidden Markov Models

    Naive Bayes classifier: A friendly approach 20:29

    Naive Bayes classifier: A friendly approach

    Principal Component Analysis (PCA) 26:34

    Principal Component Analysis (PCA)

    Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction 37:23

    Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction

    KL Divergence - How to tell how different two distributions are 13:48

    KL Divergence - How to tell how different two distributions are

    Stable Diffusion - How to build amazing images with AI 44:59

    Stable Diffusion - How to build amazing images with AI

    Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning 21:15

    Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

    How does Netflix recommend movies? Matrix Factorization 32:46

    How does Netflix recommend movies? Matrix Factorization

    A Friendly Introduction to Machine Learning 30:49

    A Friendly Introduction to Machine Learning

    A friendly introduction to deep reinforcement learning, Q-networks and policy gradients 36:26

    A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

    A friendly introduction to Deep Learning and Neural Networks 33:20

    A friendly introduction to Deep Learning and Neural Networks

    A friendly introduction to Recurrent Neural Networks 22:44

    A friendly introduction to Recurrent Neural Networks

    How do you minimize a function when you can't take derivatives? CMA-ES and PSO 15:04

    How do you minimize a function when you can't take derivatives? CMA-ES and PSO