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Quartic Roots-Using 2 ‘Big W’ Substitutes
Author(s): Greg Oliver Originally published on Towards AI. Quartics With ‘Big W’ Shape Substitutes For Simpler Roots vs Constant E Variations I have previously used Big W’s y=x⁴+Bx²+E as genetic architecture for finding Reduced Quartic roots, but this post adopts 2 generic …
How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
Set theory
Author(s): MicroBioscopicData Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Welcome to this tutorial on set theory in Python and data analysis. is a fundamental branch of mathematics that deals with the study …
Set theory
Author(s): MicroBioscopicData Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Welcome to this tutorial on set theory in Python and data analysis. is a fundamental branch of mathematics that deals with the study …
How To Forecast With SARIMA
Author(s): Egor Howell Originally published on Towards AI. A deep dive into the SARIMA model and its applications This member-only story is on us. Upgrade to access all of Medium. Photo by Wance Paleri on Unsplash In one of my previous posts …
Unlocking the Power of Concave and Convex Functions in Machine Learning
Author(s): Towards AI Editorial Team Originally published on Towards AI. A Comprehensive Introduction for Beginners Source: Pixabay Author(s): Pratik Shukla “Courage is never to let your actions be influenced by your fears.” — Arthur Koestler Table of Contents: Why do we care …
Do You Want to Make History?
Author(s): Towards AI Editorial Team Originally published on Towards AI. I am making history immediately and effortlessly with a standard deck of cards! Image by pencil parker from Pixabay Author(s): Pratik Shukla Introduction: Well, I got bored while working on my research …
The Sigmoid Function: A Key Building Block in Neural Networks
Author(s): Towards AI Editorial Team Originally published on Towards AI. Image by David Mark from Pixabay A complete guide to the sigmoid function Author(s): Pratik Shukla “The road to success and the road to failure are almost exactly the same.” — Colin …
The Normal Equation: The Calculus, the Algebra, and The Code
Author(s): Skander Menzli Originally published on Towards AI. Photo by Antoine Dautry on Unsplash Introduction: The normal equation is a closed-form solution used to solve linear regression problems. It allows us to directly compute the optimal parameters of the line (hyperplane) that …
Quick Quiz:
Author(s): Hezekiah J. Branch Originally published on Towards AI. Top highlight A Beginner’s Guide to Markov Chains, Conditional Probability, and Independence The Simpsons predicting the outcomes of the world once again (JKJK) Hey, everyone! I’m back with another fantastic article U+1F604 If …
Why is Probability Important for Machine Learning?
Author(s): Mateo Originally published on Towards AI. Among many fields of mathematics, probability theory is often considered the bedrock of Machine Learning. But why not just rely on classical software engineering methods? Image by Edge2Edge Media on Unsplash Probability, Statistics, and Information …
A Gentle Introduction to Automatic Differentiation
Author(s): Pablo Monteagudo Lago Originally published on Towards AI. As a student of Mathematics and Computer Science, it was natural for me to get interested in Artificial Intelligence, being this a field placed in the intersection of both of these knowledge areas: …
Learn with me: Linear Algebra for Data Science — Part 4: Singular Value Decomposition
Author(s): Matthew Macias Originally published on Towards AI. Welcome to the next part of the linear algebra series! We will be covering the Singular Value Decomposition and its immense role in Data Science. This article will be more technical than the previous, …
Learn With Me: Linear Algebra for Data Science — Part 3: Eigenvectors
Author(s): Matthew Macias Originally published on Towards AI. I know what you are thinking, what on earth is an eigenvector? Is that even an actual word? Source: Photo by Ben White on Unsplash Yes, they are real. They are also extremely helpful …
Bayesian Odds
Author(s): Egor Howell Originally published on Towards AI. How you can quickly compute the odds of an event using Bayes’ theorem This member-only story is on us. Upgrade to access all of Medium. Photo by Keenan Constance on Unsplash In our Bayesian …
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