Underfitting vs. Overfitting

A common challenge in Machine Learning (ML) is underfitting and overfitting. These

Understanding Cosine Similarity

Cosine similarity is used to measure how similar things are. Mathematically, it&

Detecting Outliers using the Interquartile Range (IQR)

Outliers are data points that are significantly distant from the other data

K-Nearest Neighbors (KNN) Algorithm for Supervised Machine Learning

💡In this blog post we will focus on using the KNN algorithm

Term Frequency-Inverse Document Frequency

Term Frequency-Inverse Document Frequency (TF-IDF) is a measure of: * How many times

Symmetric vs. Asymmetric Encryption

The main purpose of encryption is to convert human-readable plaintext into ciphertext

API Rate Limiting

API Rate Limiting is used to limit the number of requests a

Why is API Versioning Important?

An API can change in many different ways. For example, a property

Cache REST Constraint

There are 6 REST architectural constraints. Let's talk about the

HATEOAS

To understand HATEOAS (Hypermedia as the Engine of Application State), let'

Don't PUT it, PATCH it

There are two options for updating resources: * PUT - used for full

Content Negotiation

If you are building an API to serve just one client then