PinnedPlaying Peg Solitaire in the Browser and having Rust solving it for you.This is a bonus story for everyone who has read my account about algorithmically solving peg solitaire with Rust. In case you missed it, you may find it here. I noticed, when writing about such a nice game and providing the implementation of a solver for it, it appears a…Rust3 min readRust3 min read
May 30Member-onlyData Science: Implementing a Naive Bayesian Classifier using the Empirical Density.Join Medium with my referral link - applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. In my previous story (see here), I have provided an example implementation for a random forest based on a classification problem stemming from this set of data.Machine Learning5 min readMachine Learning5 min read
May 26Member-onlyData Science: Implementing a Random Forest in Rust.Join Medium with my referral link - applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. Random forests do come in many variations. The common idea is instead building a single tree model, one trains an ensemble of tree model where each has slightly different input parameters. These input parameters for instance could be a random-selected subset…Machine Learning5 min readMachine Learning5 min read
May 17Member-onlyData Science: Feature Selection by comparing Histogram Distances.Join Medium with my referral link — applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. Typically when we create a classification or regression model we try to keep it as simple as possible. Simplification can be reached in many ways, and one is to reduce the considered features to a small as possible subset.Machine Learning3 min readMachine Learning3 min read
Apr 26Member-onlyData Science: Computation of Eigenvectors — QR-Algorithm Implementation.Join Medium with my referral link — applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. In our previous story (see here) we have looked at the theory behind the QR-algorithm that aims to find all eigenvector/eigenvalue pairs of a matrix. Now we consider a possible implementation in Rust.Machine Learning3 min readMachine Learning3 min read
Apr 24Member-onlyData Science: Computation of Eigenvectors — QR-Algorithm.Join Medium with my referral link — applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. After having seen various methods about eigenvector computation, i.e. power method and deflation method, we now come to one that is hard to surpass in terms of ingenuity.Machine Learning3 min readMachine Learning3 min read
Apr 22Member-onlyData Science: Computation of Eigenvectors — Deflation Method.Join Medium with my referral link — applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. In our previous story (see here), we have looked at a procedure to compute the in absolute terms highest eigenvalue of a finite dimensional endomorphism — a (n,n)-matrix. …Machine Learning4 min readMachine Learning4 min read
Apr 20Member-onlyData Science: Computation of Eigenvectors — Power Method.Join Medium with my referral link — applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. To exactly compute the eigenvalue/eigenvectors pairs, there exists several methods. One of this is the so called power method at which theory and implementation this article is devoted.Machine Learning2 min readMachine Learning2 min read
Apr 18Member-onlyData Science: Computation of Eigenvectors — Gershgorin circles.Join Medium with my referral link - applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…applied-math-coding.medium.com This story is part of my Data Science series. In this article we restrict our attention to the problem of finding eigenvector/eigenvalue pairs for a finite dimensional linear operator. In many applications of machine learning one is interested in those eigenvectors that belong to the highest eigenvalues in absolute value…Machine Learning2 min readMachine Learning2 min read
Apr 14Member-onlyData Science: Reducing complexity by Principle Component Analysis.Join Medium with my referral link - applied.math.coding Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…medium.com This story is part of my Data Science series. Many data sets come with an enormous amount of feature variables. On the one hand this is positive because it yields a large amount of information that we can incorporate in a machine learning algorithm, but on the other hand it…Machine Learning3 min readMachine Learning3 min read
