In this video, we simplify a logarithm.
From playlist Logs - Worked Examples
Transcendental Functions 14 Derivative of Natural Log of x Example 3.mov
More examples to work through.
From playlist Transcendental Functions
Solving a natural logarithmic equation using your calculator
👉 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
Isolating a logarithm and using the power rule to solve
👉 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
Transcendental Functions 3 Examples using Properties of Logarithms.mov
Examples using the properties of logarithms.
From playlist Transcendental Functions
This is an worked example of logarithms in Algebra 2.
From playlist Logs Group Quiz
Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
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
Applied Machine Learning: Introduction
Professor Jann Spiess presents an introduction to applied machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (μTransfer)
👨👩👧👦 Join our Discord community 👨👩👧👦 https://discord.gg/peBrCpheKE In this video I cover "Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (μTransfer)" paper that makes optimal hyperparameters stable w.r.t. width scaling! ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
From playlist Miscellaneous
Statistical Rethinking 2022 Lecture 11 - Ordered Categories
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music etc: Intro: https://www.youtube.com/watch?v=muxgwcxW-zo Key & Peele: https://www.youtube.com/watch?v=3-jv7doUI8o Pause: https://www.youtube.com/watch?v=wAPCSnAhhC8 Chapters: 00:00 Introduction 03:
From playlist Statistical Rethinking 2022
Data Science - Part XV - MARS, Logistic Regression, & Survival Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on extending the regression concepts brought forth in previous lectures. We wi
From playlist Data Science
How to validate a Likert-scale questionnaire using Rasch analysis | A Quick and Effective Guide
Rasch measurement is a very user-friendly method to validate questionnaires and surveys. In this video, I will demonstrate how to use the Rasch-Andrich Rating Scale Model to validate questionnaires. I will discuss: 1. Item difficulty and Wright Map 2. Thresholds 3. Dimensionality: theoret
From playlist Rasch Measurement
Live Stream #166.1: Finish Up Fourier + ml5 KNN
Finishing up the Fourier Transform Drawing example. Also covering KNN Classification with image features. 🔗https://thecodingtrain.com/CodingChallenges/130.3-fourier-transform-drawing.html 🔗 FFT on Algorithm Archive: https://www.algorithm-archive.org/contents/cooley_tukey/cooley_tukey.htm
From playlist Live Stream Archive
Solving a natural log in two different ways
👉 Learn how to solve natural logarithmic equations. Logarithmic equations are equations with logarithms in them. To solve a natural 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 l
From playlist Solve Logarithmic Equations
Statistical Rethinking Winter 2019 Lecture 14
Lecture 14 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapter 12: ordered categorical outcomes and ordered categorical predictors.
From playlist Statistical Rethinking Winter 2019
What are the Two Important Types of Logarithms ( Log Base e and Log Base 10 ) : Logarithms, Lesson 3
This tutorial explains what how log base ten and log base e ( the natural log ) are represented. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)
From playlist All About Logarithms
Data Mining with Weka (4.4: Logistic regression)
Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 4: Logistic regression https://weka.waikato.ac.nz/ Slides (PDF): https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/ https://twitter.com/WekaMOOC https://wekamooc.blogspot.co.nz/ Department
From playlist Data Mining with Weka