Knowing Linear Regression better!!
Author(s): Charanraj Shetty Originally published on Towards AI. Statistics OLS and Gradient Descent Source Regression Introduction Regression is an Algorithm of the Supervised Learning model. When the output or the dependent feature is continuous and labeled then, we apply the Regression Algorithm. …
Mastering the Fundamentals: Differences Between Sample, Batch, Iteration, And Epoch
Author(s): ClΓ©ment Delteil Originally published on Towards AI. A Beginnerβs Guide to Mastering the Fundamentals of Machine Learning Photo by Robert Ruggiero on Unsplash When you are new to Machine Learning, it is common to get overwhelmed with information. There are so …
Freezing Layers of a Deep Learning Model β the proper way
Author(s): Alexey Kravets Originally published on Towards AI. ADAM optimizer example in PyTorch Jason Mitrione on unsplash Introduction It is often useful to freeze some of the parameters for example when you are fine-tuning your model and want to freeze some layers …
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 …
Multivariate Linear Regression From Scratch
Author(s): Erkan HatipoΔlu Originally published on Towards AI. With Code in Python Photo by Hitesh Choudhary on Unsplash Introduction In this new episode of the Machine Learning Basics series, we will create a model for a multivariate linear regression task and validate …
Gradient Descent for Machine Learning (ML) 101 with Python Tutorial
Author(s): Towards AI Team A three-dimensional wireframe plot of the unnormalized sin(x) function. | Source: Creative Commons by Wikimedia [1]Β A tutorial diving into the gradient descent algorithm for machine learning (ML) withΒ Python Author(s): Saniya Parveez, Roberto Iriondo This tutorialβs code is …
Gradient Descent v/s Normal Equation For Regression Problems
Author(s): Pushkara Sharma Originally published on Towards AI. Machine Learning Choosing the right algorithm to find the parameters that minimize the cost function Gradient Descent v/s Normal Equation In this article, we will see the actual difference between gradient descent and the …
A Quick Guide to Gradient Descent and its Variants
Author(s): Riccardo Di Sipio Originally published on Towards AI. And if you do not know where to start from, optimize the learning rate In machine learning, one deals with some mathematical model z = F(x,ΞΈ) which is a function of some input …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori Originally published on Towards AI. In this tutorial, youβll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Image by Author. Gradient Descent EquationWhat is Linear regression?What is Gradient Descent?Comparison between different …
Gradient Descent: In Layman Language
Author(s): Saikat Biswas Originally published on Towards AI. Introducing the most popular and most used optimization technique in 5 minutes Source: Unsplash Whenever we talk of Machine Learning, the word we hear a lot, need to know and reason about is the …
Machine Learning: Python Linear Regression Estimator Using Gradient Descent
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Implementation Using Python Estimator In this article, we describe how a simple python estimator can be built to perform linear regression using the gradient descent method. Letβs assume we have a one-dimensional …
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