David Landup

Articles: 522

Joined: Aug 17, 2018

Entrepreneur, Software and Machine Learning Engineer, with a deep fascination towards the application of Computation and Deep Learning in Life Sciences (Bioinformatics, Drug Discovery, Genomics), Neuroscience (Computational Neuroscience), robotics and BCIs.

Great passion for accessible education and promotion of reason, science, humanism, and progress.

Recently published

Article

Transformer Token and Position Embedding with Keras

There are plenty of guides explaining how transformers work, and for building an intuition on a key element of them - token and position embedding. Positionally embedding tokens allowed transformers to represent non-rigid relationships between tokens (usually, words), which is much better at modelling our context-driven speech in language modelling....

David Landup

Aug 01, 2022·10 min read

Article

How to Fill NaNs in a Pandas DataFrame

Missing values are common and occur either due to human error, instrument error, processing from another team, or otherwise just a lack of data for a certain observation. In this Byte, we'll take a look at how to fill NaNs in a DataFrame, if you choose to handle NaNs by...

David Landup

Jul 12, 2022·6 min read

Article

POST HTTP Request in React

When working with APIs we oftentimes want to send data to the server for processing. For example, if we have a list of to-dos and want to add to it, perhaps through a form submission, we use POST HTTP requests to send a request with a payload for processing and...

Joel Olawanle

Jul 11, 2022·15 min read

Article

K-Means Clustering with the Elbow method

K-means clustering is an unsupervised learning algorithm that groups data based on each point euclidean distance to a central point called centroid. The centroids are defined by the means of all points that are in the same cluster. The algorithm first chooses random points as centroids and then iterates adjusting...

Cássia Sampaio

Jul 08, 2022·6 min read

Article

Definitive Guide to K-Means Clustering with Scikit-Learn

K-Means clustering is one of the most widely used unsupervised machine learning algorithms that form clusters of data based on the similarity between data instances. In this guide, we will first take a look at a simple example to understand how the K-Means algorithm works before implementing it using Scikit-Learn....

Cássia Sampaio

Jul 07, 2022·39 min read

Article

How to Style Hover in React

Working with visuals is an excellent way to keep our interface interactive and to capture the user's attention. Having objects animated on our screen creates a unique experience and increases interactivity. In this article, we will learn how to style hover in React using CSS, as well as how to...

Joel Olawanle

Jul 06, 2022·8 min read

Article

Resizing Images with React

It's always a good idea to have visuals on a website or web application because they help engage a user, but when these images are so large that a user has to scroll through, distorting the entire page, it achieves the opposite effect. In this article, we will learn how...

Joel Olawanle

Jul 05, 2022·6 min read

Article

K-Means Elbow Method and Silhouette Analysis with Yellowbrick and Scikit-Learn

K-Means is one of the most popular clustering algorithms. By having central points to a cluster, it groups other points based on their distance to that central point. A downside of K-Means is having to choose the number of clusters, K, prior to running the algorithm that groups points. If...

Cássia Sampaio

Jul 04, 2022·6 min read

Article

5-Line GPT-Style Text Generation in Python with TensorFlow/Keras

Transformers, even though released in 2017, have only started gaining significant traction in the last couple of years. With the proliferation of the technology through platforms like HuggingFace, NLP and Large Language Models (LLMs) have become more accessible than ever. Yet - even with all the hype around them and...

David Landup

Jun 27, 2022·29 min read