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Alexis Alulema

software developer & machine learning engineer

JavaScript Levenshtein Algorithm Implementation

JavaScript, Levenshtein

Support Vector Machines (SVM) for Classification

The purpose of this document is to present the linear classification algorithm SVM. The development of this concept has been…

DDD Clean Architecture Template

(GitHub Repo: https://github.com/alulema/DDD-CleanArchitectureTemplate) These last 10 months I’ve been delighted working with ASP.NET Core, considering the improvements made by Microsoft…

C#, Clean Architecture, CQRS, DDD, Design Patterns, Domain Driven Design, MediatR

C# Sudoku Solver

(GitHub Repo: https://github.com/alulema/SudokuSolverNet) I was revisiting a couple of basic AI concepts:  Depth First Search and Constraint Propagation, and I…

AI Techniques, C#, Constraint Propagation, Depth First Search

TensorFlow High-Level Libraries: TF Estimator

TensorFlow has several high-level libraries allowing us to reduce time modeling all with core code. TF Estimator makes it simple…

Machine Learning, Python, TensorFlow

TensorFlow Way for Linear Regression

In my two previous posts, we saw how we can perform Linear Regression using TensorFlow, but I’ve used Linear Least…

Data Science, Linear Regression, Machine Learning, Python, TensorFlow

Cholesky Decomposition for Linear Regression with TensorFlow

Although Linear Least Squares Regression is simple and precise, it can be inefficient when matrices get very large. Cholesky decomposition…

Linear Regression, Machine Learning, Python, TensorFlow

Linear Least Squares Regression with TensorFlow

Linear Least Squares Regression is by far the most widely used regression method, and it is suitable for most cases…

Linear Regression, Machine Learning, Python, TensorFlow

Classification Loss Functions (Part II)

In my previous post, I mentioned 3 loss functions, which are mostly intended to be used in Regression models. This…

loss function, Machine Learning, Python, TensorFlow

Loss Functions (Part 1)

Implementing Loss Functions is very important to machine learning algorithms because we can measure the error from the predicted outputs…

loss function, Machine Learning, Python, TensorFlow

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Skype: alexis.alulema
contact@alexisalulema.com
Colombia
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