K-Nearest Neighbors Algorithm for ML
The k-nearest neighbors (kNN) algorithm is a simple tool that can be used for a large number of real-world problems. In this article, we cover what kNN is, how it works, and how to implement it in machine learning projects.
Article by Inna Logunova
September 20th, 2022
11 min read
What Is Anomaly Detection in Machine Learning?
In this article, you will read about different types of outliers and machine learning techniques that help to find anomalies. Learn how you can apply ML anomaly detection techniques to fraud prevention, medical diagnosis, and more.
December 10th, 2021
9 min read
Is Self-Supervised Learning the Future of AI?
Self-supervised learning is one of the most popular approaches to ML today. SSL algorithms don’t require manual target labeling and can obtain all the information they need from the data. Find out more about how they work in our new post.
Naive Bayes Algorithm for Beginners
Naive Bayes classifiers are a set of classification algorithms for binary (two-class) and multiclass problem classification. Let’s find out where the Naive Bayes algorithm has proven to be effective and where it hasn't.
February 17th, 2021
7 min read
An Overview of Machine Learning Optimization Techniques
Find out why ML optimization is necessary and how ML optimization techniques work through simple, practical examples.
December 2nd, 2020
6 min read
A Guide to Deep Learning and Neural Networks
The difference between deep learning and neural networks is often confusing for beginners. What does it mean for an algorithm to be “deep”? What types of neural networks exist out there? You’ll learn all that and more in our guide.
October 8th, 2020
13 min read
Regression Analysis Overview: The Hows and The Whys
Regression analysis is widely used for making predictions. In this article, you’ll learn what regression models are, what they can and cannot do, and how regression analysis can help with forecasting.
September 9th, 2020
10 min read
Classification Algorithms: A Tomato-Inspired Overview
Today, we will see how popular classification algorithms can help us, for example, to pick out and sort wonderful, juicy tomatoes.
August 5th, 2020
7 min read