Recent posts
- To-Do Lists or Kanban: Which Planning Tool works Better?
In this blog post, you will find a comparison of the planning tools Trello and Todoist. After using both tools for over a year, I […] - A Tutorial on Multi-Armed Bandits: To Explore or Exploit?
The Multi-Armed Bandit problem is a classical Reinforcement Learning that shows the exploration-exploitation trade-off. In this tutorial, we will look at the problem of advertorial […] - Detecting Pedestrians using PyTorch – A Helpful Guide
In this blog post, you will learn how to implement a Pedestrian Detection algorithm using PyTorch. See also: No related posts. - Finetuning BERT on Google Colab
In this blog post, you will learn how you can finetune BERT on Google Colab and use the trained model for your NLP task. You […] - Simplify your PyTorch model using PyTorch Lightning
Code for machine learning can get repetitive. In this blog post, you will learn to combat code repetition by using PyTorch Lightning. See also: Django […] - A Data Scientist’s Guide to an Efficient Project Lifecycle
It is often seen that projects overshoot their normal completion data by at least three times most probably owing to shifting goals, inefficient approaches towards […] - Proof that 1/7 is a repeated decimal
This blog post serves as an exercise and solution to the following question: In plain English: is the fraction a repeated decimal (0.142857142857142857…)? See also: […] - Scale out your Pandas DataFrame operations using Dask
In Pandas, one can easily apply operations on all the data using the apply method (see also our course for learning Pandas quickly). However, this […] - 15 Books Every College Student Needs to Read before Graduating
College life is considered a crucial phase of a person’s life. It is the transition period when a student slowly makes his/her way to the […]
Artificial Intelligence & Machine Learning
- A Tutorial on Multi-Armed Bandits: To Explore or Exploit?The Multi-Armed Bandit problem is a classical Reinforcement Learning that shows the exploration-exploitation trade-off. In this tutorial, we will look at the problem of advertorial design and we will answer the following question: what advertorials will lead to the highest gains? See also: Overview scientific […]
- Hands-on: Creating Neural Networks using Chainer
This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post), but it is focused on creating a pipeline. We will […]
Natural Language Processing
- Finetuning BERT on Google ColabIn this blog post, you will learn how you can finetune BERT on Google Colab and use the trained model for your NLP task. You will also learn how you can observe the performance of the model in the training phase. See also: Create a […]
- Create a Character-based Seq2Seq model using Python and Tensorflow
In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for […]
Information Retrieval
- Opinion mining on Dutch news articles
In this blog post, I will learn you how you can mine opinions about companies from news articles. I will share how I scraped thousands of news articles in a few minutes and how one could classify the opinion expressed in the titles of the […] - Scrape een website met Python + Scrapy in 5 simpele stappen
In deze Python Scrapy tutorial leer je hoe je een eenvoudige webscraper in Python kan maken met behulp van het Scrapy framework. De Data Blogger website zal als voorbeeld worden gebruikt in dit artikel. Scrapy: Een platform voor het extraheren van informatie van websites op […]
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