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Articles tagged with #python-beginner
Photo by Fineas Anton on Unsplash Overview In this post, we'll explore Gradient Descent from the ground up starting conceptually, then using code to build up our intuition brick by brick. While this post is part of an ongoing series where I document...
Context There are several posts that could serve as context (as needed) for the concepts discuss in this post including these posts on: Conditional Probability Bayes' Theorem Bayes' Application & Code Distributions In this post, we'll cover probabi...
Overview This post is a in continuation of my coverage of Data Science from Scratch by Joel Grus. It picks up from the previous post, so be sure to check that out for proper context. Building on our understanding of conditional probability we'll get...
Overview This post is chapter 6 in continuation of my coverage of Data Science from Scratch by Joel Grus. We will work our way towards understanding conditional probability by understanding preceding concepts like marginal and joint probabilities. A...
Overview This post is chapter 5 in continuation of my coverage of Data Science from Scratch by Joel Grus. It should be noted upfront that everything covered in this post can be done more expediently and efficiently in libraries like NumPy as well as...
Author's note: This is a continuation of vectors, which is part of the Linear Algebra chapter from Data Science from Scratch by Joel Grus. Matrices The first thing to note is that matrices are represented as lists of lists which is explicit with typ...