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Jorrit Willaert
Jorrit Willaert

164 Followers

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How I Became a Machine Learning Engineer From Scratch

Two years ago, I barely knew anything of machine learning/artificial intelligence. By now, I’m feeling confident in creating neural networks all the way up from scratch. Motivation Everything starts from being motivated. Two years ago, I was studying industrial engineering with an option in electromechanics. However, with my final master’s year…

Machine Learning

4 min read

How I became a machine learning engineer from scratch
How I became a machine learning engineer from scratch
Machine Learning

4 min read


20 hours ago

How we Managed to Win the ‘Best Technical Solution’ Price of the Data 4 Good Challenge

Last Thursday, I participated in the Data 4 Good Challenge of Emergent in Leuven, along with three teammates. Hasse and Ennio are Computer Science students as well, while Sven is pursuing a Masters in Information Systems Engineering. The Data 4 Good Challenge is a data-based hackathon, surrounded by talks and…

Hackathons

7 min read

How we Managed to Win the ‘Best Technical Solution’ Price of the Data 4 Good Challenge
How we Managed to Win the ‘Best Technical Solution’ Price of the Data 4 Good Challenge
Hackathons

7 min read


Published in Towards Data Science

·Nov 8

How Deep Learning Techniques Can Be Used for Offering Dynamic Trajectories on Educational Coding Platforms — Problem Statement

In this series, I will cover the main findings of my thesis that I’m doing at the Computer Science department of KU Leuven. …

Deep Learning

5 min read

How Deep Learning Techniques Can Offer Dynamic Learning Trajectories on Educational Coding…
How Deep Learning Techniques Can Offer Dynamic Learning Trajectories on Educational Coding…
Deep Learning

5 min read


Oct 28

Get the big picture — RxJS & Reactive Programming

RxJS is the best known library for reactive programming in JavaScript. Reactive programming is mainly concerned about handling asynchronous data streams. If you have never worked with reactive programming before, it is going to be though, since you have to think in a completely different way as you are used…

Reactive Programming

3 min read

Get the big picture — RxJS & Reactive Programming
Get the big picture — RxJS & Reactive Programming
Reactive Programming

3 min read


Published in Towards Data Science

·Oct 18

How Genetic Algorithms and Evolutionary Computing Can Be Used to Find Near-Optimal Solutions for the Travelling Salesman Problem

Metaheuristics can find near-optimal solutions for NP-complete problems — Last year, I took the ‘Genetic Algorithms and Evolutionary Computing’ course at KU Leuven. The evaluation of the course is based entirely on a programming project in Python, where the task is to find near-optimal solutions for the travelling salesman problem. Conceptually, several matrices are given that represent the distances…

Genetic Algorithm

18 min read

Use genetic algorithms and evolutionary computing for solving the Travelling Salesman Problem
Use genetic algorithms and evolutionary computing for solving the Travelling Salesman Problem
Genetic Algorithm

18 min read


Oct 10

Get the big picture — Redux

Redux is a state management pattern, mainly used for complex web applications built with React, Angular, or Vue. Instead of having the state of an app being spread over multiple components, with Redux, the state is centralized. This way, your application’s state will be much more debuggable. The centralized object…

Redux

3 min read

Get the big picture — Redux
Get the big picture — Redux
Redux

3 min read


Published in Towards Data Science

·Oct 4

Visual Question Answering with DeepProbLog Using Neuro-Symbolic AI

Comparing neuro-symbolic AI against a purely neural network-based approach on visual question-answering — This article focuses on Visual Question Answering, where a neuro-symbolic AI approach with a knowledge base is compared with a purely neural network-based approach. From the experiments, it follows that DeepProbLog, the framework used for the neuro-symbolic AI approach, is able to achieve the same accuracy as the pure neural…

Neuro Symbolic Ai

11 min read

Visual Question Answering with DeepProbLog — Using Neuro Symbolic AI
Visual Question Answering with DeepProbLog — Using Neuro Symbolic AI
Neuro Symbolic Ai

11 min read


Sep 27

Get the big picture — Next.js

Next.js is a web development framework used for React applications. Its main advantages are the built-in support for server-side rendering and automatic code splitting, without any configuration. Traditional pure React: disadvantages A typical React application is rendered on the client side. There are two main disadvantages to this approach: Browsers have to render a…

Web Development

3 min read

Get the big picture — Next.js
Get the big picture — Next.js
Web Development

3 min read


Published in Towards Data Science

·Sep 24, 2021

How To Calculate the Mean and Standard Deviation — Normalizing Datasets in Pytorch

Neural networks converge much faster if the input data is normalized. Learn how you can calculate the mean and standard deviation of your own dataset. — Why normalization allows faster convergence The normalization of a dataset is mostly seen as a rather mundane task, although it strongly influences the performance of a neural network. With unnormalized data, numerical ranges of features may vary strongly. Take for example a machine learning application where housing prices are…

Neural Networks

3 min read

How to calculate the mean and standard deviation — Normalizing datasets in Pytorch
How to calculate the mean and standard deviation — Normalizing datasets in Pytorch
Neural Networks

3 min read

Jorrit Willaert

Jorrit Willaert

164 Followers

Student Computer Science - Option Artificial Intelligence | https://www.linkedin.com/in/jorrit-willaert-166a64198/

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