Skip to content

Alexis Alulema

software developer & machine learning engineer

  • About Me
December 31, 2018 AI Techniques / Machine Learning / Matlab

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

Continue reading

April 30, 2018 ASP.NET / ASP.NET Core / C# / Clean Architecture / CQRS / Domain Driven Design / MediatR

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

Continue reading

April 19, 2018 AI Techniques / C# / Constraint Propagation / Depth First Search

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

Continue reading

March 26, 2018 Machine Learning / Python / TensorFlow

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

Continue reading

February 6, 2018 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

Continue reading

January 20, 2018 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

Continue reading

January 18, 2018 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

Continue reading

December 15, 2017 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

Continue reading

December 7, 2017 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

Continue reading

October 15, 2017 Machine Learning / Python / TensorFlow

Activation Functions in TensorFlow

Perceptron is a simple algorithm which, given an input vector x of m values (x1, x2, …, xm), outputs either

Continue reading

Posts navigation

1 2 3 Next Posts»

Follow Me

  • Twitter
  • LinkedIn
  • YouTube
  • GitHub

Pages

  • About Me

Archives

  • December 2018 (1)
  • April 2018 (2)
  • March 2018 (1)
  • February 2018 (1)
  • January 2018 (2)
  • December 2017 (2)
  • October 2017 (4)
  • July 2017 (2)
  • March 2017 (2)
  • February 2017 (2)
  • January 2017 (2)

Social

  • View alulema’s profile on Twitter
  • View alulema’s profile on LinkedIn
  • View alulema’s profile on GitHub
  • View alulema’s profile on YouTube

Contact Info

Skype: alexis.alulema
Email: alexis.alulema@gmail.com
Envigado, Colombia
Blog at WordPress.com.
Cancel