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applied.math.coding
applied.math.coding

803 Followers

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Playing 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…

Rust

3 min read

Playing Peg Solitaire in the Browser and having Rust solving it for you.
Playing Peg Solitaire in the Browser and having Rust solving it for you.
Rust

3 min read


Published in

Stackademic

·Sep 6

How to Produce a Memory Leak in Rust

Yes, you correctly read, “produce a Memory Leak in Rust”. And this is actually not the hardest thing to do. Though you will see, the pattern is not of the kind you find in everyday programming. Let us just cold start and jump into the code: use std::{cell::RefCell, rc::Rc}; struct Left(Option<Rc<Right>>); struct…

Rust

3 min read

How to Produce a Memory Leak in Rust
How to Produce a Memory Leak in Rust
Rust

3 min read


Aug 27

Enhancing Rust’s built-in Queue to become a Priority Queue.

Rust comes with a built-in queue VecDeque. This is a very handy construct and even allows for slicing. Though, if you need a priority queue, there is no such thing provided in Rust’s standard library. …

Rust

3 min read

Enhancing Rust’s built-in Queue to become a Priority Queue.
Enhancing Rust’s built-in Queue to become a Priority Queue.
Rust

3 min read


Aug 12

Data Science: Serving and Processing Data with Actix.

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. Tasks in Machine Learning not only involves building of models or data analysis but in addition to deploy the results on production systems. …

Rust

5 min read

Data Science: Serving and Processing Data with Actix.
Data Science: Serving and Processing Data with Actix.
Rust

5 min read


Aug 9

Data Science: Crunching Data with PostgreSQL and 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. In this story I want to show you a quick way how to get up and running for either pure data analysis or machine learning modeling with Rust using PostgreSQL.

Rust

8 min read

Data Science: Crunching Data with PostgreSQL and Rust.
Data Science: Crunching Data with PostgreSQL and Rust.
Rust

8 min read


Jun 20

Data Science: Ensemble Learning with Bagging.

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. Bagging is a useful technique to reduce variance in predictions wherever it is regression or classification. If you train a machine learning algorithm on some data, you probably will be asked how stable all these metrics like recall, precision, accuracy, etc…

Ensemble Bagging

5 min read

Data Science: Ensemble Learning with Bagging.
Data Science: Ensemble Learning with Bagging.
Ensemble Bagging

5 min read


Jun 12

Data Science: An Implementation of the AdaBoost 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. In my previous story I have given a quick overview of the AdaBoost algorithm and its theory (see here). In this account we will look at an implementation of this algorithm in Rust (educational purposes only).

Machine Learning

5 min read

Data Science: An Implementation of the AdaBoost Algorithm.
Data Science: An Implementation of the AdaBoost Algorithm.
Machine Learning

5 min read


Jun 10

Data Science: The AdaBoost Algorithm and its Theory.

This story is part of my Data Science series.

Machine Learning

2 min read

Data Science: The AdaBoost Algorithm and its Theory.
Data Science: The AdaBoost Algorithm and its Theory.
Machine Learning

2 min read


May 30

Data 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 Learning

5 min read

Data Science: Implementing a Naive Bayesian Classifier using the Empirical Density.
Data Science: Implementing a Naive Bayesian Classifier using the Empirical Density.
Machine Learning

5 min read


May 26

Data 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 Learning

5 min read

Data Science: Implementing a Random Forest in Rust.
Data Science: Implementing a Random Forest in Rust.
Machine Learning

5 min read

applied.math.coding

applied.math.coding

803 Followers

I am a scientific researcher and machine learning engineer. https://medium.com/@applied-math-coding/membership

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