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.
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 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.
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.
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.
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.
Need to build an ML model but don’t know where to start? In this post, we will help you pick the correct machine learning algorithms for your particular use case.