What Is Computer Vision and How It Works
Discover how computer vision works, where it is used, and what are the main obstacles ML engineers run into when solving computer vision problems.
How to Participate in a Kaggle Competition
Where to start with Kaggle competitions? Are they worth trying? Read our post to learn how to start competing in Kaggle.
Top 18 Low-Code and No-Code ML Platforms
With low-code and no-code platforms, you can start an ML project without diving deep into programming or computer science. To help you start, we have compiled a list of the best such platforms available right now.
10 AI Ethics Questions We Need to Answer
Read about the most pressing questions in the ethics of artificial intelligence.
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.
Top 5 Artificial Intelligence Trends of 2021
What are the trends in artificial intelligence in 2021? AI-powered chatbots, autonomous cars, or maybe predictive analytics or AIOps? Check out our post to learn about the artificial intelligence (AI) trends that might guide the next decade.
Top 10 Ideas for Your ML Project in 2021
Searching for machine learning project ideas? This is a collection of ideas that you can use for your machine learning portfolio in 2021.
What Is Big Data?
Big data is data that cannot be processed without special tools due to its volume and variety. Read this article to learn more about how big data can be used in business.
Machine Learning & Text Analysis
This post explains how machine learning can help with text analysis and language processing (NLP). You will learn about the most popular ML text analysis techniques and their practical applications.
What Is ML Optimization?
Find out why ML optimization is necessary and how ML optimization techniques work through simple, practical examples.
Machine Learning Testing: A Step to Perfection
In machine learning, testing is mainly used to validate raw data and check the ML model's performance. Learn more about it in our guide.
Pattern Recognition and Machine Learning in Simple Words
What is pattern recognition, when and where is it used in machine learning? And how to train a pattern recognition system? Find out the answers in this post.
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.
What Is Data Preprocessing in ML?
Data preprocessing is the process of converting raw data into a well-readable format to be used by a machine learning model. Learn more about it in our article.