Special functions | Logarithms
In statistics, the logit (/ΛloΚdΚΙͺt/ LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in data analysis and machine learning, especially in data transformations. Mathematically, the logit is the inverse of the standard logistic function , so the logit is defined as . Because of this, the logit is also called the log-odds since it is equal to the logarithm of the odds where p is a probability. Thus, the logit is a type of function that maps probability values from to real numbers in , akin to the probit function. (Wikipedia).
Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)
This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com
From playlist Using the Definition of a Logarithm
In this video, we simplify a logarithm.
From playlist Logs - Worked Examples
What is a Logarithm : Logarithms, Lesson 1
This tutorial explains a practical way to think about logarithms. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)
From playlist All About Logarithms
Condensing a logarithmic expression and simplifying the expression
π Learn how to condense logarithmic expressions. A logarithmic expression is an expression having logarithms in it. To condense logarithmic expressions means to use the logarithm laws to reduce logarithm expressions from the expanded form to a condensed form. Knowledge of the logarithm law
From playlist Condense Logarithms with Brackets
This is an worked example of logarithms in Algebra 2.
From playlist Logs Group Quiz
What is exponential and logarithmic form
π Learn how to convert an exponential equation to a logarithmic equation. This is very important to learn because it not only helps us explain the definition of a logarithm but how it is related to the exponential function. Knowing how to convert between the different forms will help us i
From playlist Logarithmic and Exponential Form | Learn About
Math tutorial for solving a multi step logarithmic equation
π Learn how to solve logarithmic equations. Logarithmic equations are equations with logarithms in them. To solve a logarithmic equation, we first isolate the logarithm part of the equation. After we have isolated the logarithm part of the equation, we then get rid of the logarithm. This i
From playlist Solve Logarithmic Equations
Overview of logs - Free Math Help - Help on math
π Learn how to convert an exponential equation to a logarithmic equation. This is very important to learn because it not only helps us explain the definition of a logarithm but how it is related to the exponential function. Knowing how to convert between the different forms will help us i
From playlist Logarithmic and Exponential Form | Learn About
How to condense a logarithmic expression using a radical
π Learn how to condense logarithmic expressions. A logarithmic expression is an expression having logarithms in it. To condense logarithmic expressions means to use the logarithm laws to reduce logarithm expressions from the expanded form to a condensed form. Knowledge of the logarithm law
From playlist Condense Logarithms with Brackets
logit and softmax in deep learning
understanding what is logit and softmax in deep learning. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning
The Post processing step in Question Answering (TensorFlow)
Evaluation in question answering tasks can be tricky as it's hard to convert the model output to answers in the original contexts. This video will (hopefully) make everything clearer! This video is part of the Hugging Face course: http://huggingface.co/course Open in colab to run the code
From playlist Hugging Face Course Chapter 7
The Post processing step in Question Answering (PyTorch)
Evaluation in question answering tasks can be tricky as it's hard to convert the model output to answers in the original contexts. This video will (hopefully) make everything clearer! This video is part of the Hugging Face course: http://huggingface.co/course Open in colab to run the code
From playlist Hugging Face Course Chapter 7
ml5.js: KNN Classification Part 1
This video covers "KNN Classification." In this first part, I begin the process of building a "teachable machine"-style image classifier with ml5.js. #machinelearning #ml5js #p5js π»Code: https://thecodingtrain.com/Courses/ml5-beginners-guide/5.1-ml5-knn-classification-1.html π₯ Part 2: htt
From playlist Beginners Guide to Machine Learning in JavaScript
ml5.js: KNN Classification Part 2
This video series covers "KNN Classification." In this second part, I train the KNN image classifier using the ml5.js library. #machinelearning #ml5js #p5js #knnclassification π»Code: https://thecodingtrain.com/Courses/ml5-beginners-guide/5.2-ml5-knn-classification-2.html π₯ Part 1: https:
From playlist Beginners Guide to Machine Learning in JavaScript
Building makemore Part 4: Becoming a Backprop Ninja
We take the 2-layer MLP (with BatchNorm) from the previous video and backpropagate through it manually without using PyTorch autograd's loss.backward(): through the cross entropy loss, 2nd linear layer, tanh, batchnorm, 1st linear layer, and the embedding table. Along the way, we get a str
From playlist Neural Networks: Zero to Hero
Statistical Rethinking 2022 Lecture 09 - Modeling Events
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Updated on 3 Feb 2022 to fix a code bug. Details: https://github.com/rmcelreath/stat_rethinking_2022/commit/3ef138b72c697a576ebcc07a1f9d10c7d3c9e4e7 Music: Intro: https://www.youtube.com/watch?v=JLNXPvM
From playlist Statistical Rethinking 2022
Live Stream #166.1: Finish Up Fourier + ml5 KNN
Finishing up the Fourier Transform Drawing example. Also covering KNN Classification with image features. πhttps://thecodingtrain.com/CodingChallenges/130.3-fourier-transform-drawing.html π FFT on Algorithm Archive: https://www.algorithm-archive.org/contents/cooley_tukey/cooley_tukey.htm
From playlist Live Stream Archive
Softmax Function Explained In Depth with 3D Visuals
The softmax function is often used in machine learning to transform the outputs of the last layer of your neural network (the logits) into probabilities. In this video, I explain how the softmax function works and provide some intuition for thinking about it in higher dimensions. In additi
From playlist Machine Learning
Math tutorial for solving logarithmic equation using inverse operations
π Learn how to solve logarithmic equations. Logarithmic equations are equations with logarithms in them. To solve a logarithmic equation, we first isolate the logarithm part of the equation. After we have isolated the logarithm part of the equation, we then get rid of the logarithm. This i
From playlist Solve Logarithmic Equations
Lecture 3C : Learning the weights of a logistic output neuron
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 3C : Learning the weights of a logistic output neuron
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]