In the previous article, we explained how clustering, an unsupervised machine learning method, is different from the supervised machine learning method. We also described the concept of clustering analysis using a simple example and showed how it could be used throughout many businesses to solve various problems. In this article…

How does clustering work, and why is it so important for businesses? This article provides a straightforward and easy-to-understand explanation of what clustering is and how it is now being used in the business world to address various problems. What Exactly Are Clustering Algorithms? Clustering, or cluster analysis, is an unsupervised machine learning method. As…

By Gavita Regunath and Dan Lantos Automated Machine Learning, or AutoML, has gained a lot of popularity and traction in both the research and business sectors. Why? 61% OF DATA AND ANALYTICS DECISION-MAKERS WHOSE FIRMS ARE ADOPTING ARTIFICIAL INTELLIGENCE SAID THEY HAD IMPLEMENTED AUTOML SOFTWARE OR ARE IN THE PROCESS…

By Gavita Regunath and Dan Lantos Do you want to get started with computer vision but do not really know where to start? Or would you like to quickly get an idea as to which state-of-the-art (SoTA) computer vision model is best for your task? …

Using Azure Synapse Analytics and Azure Machine Learning For any service company that bills on a recurring basis, a key variable is the rate of churn. Harvard Business Review, March 2016 WHAT IS CHURN? Customer churn, also known as customer attrition, is when customers stop using a service or product offered by a…

In the previous article and video, we introduced the concept of a feature store, the history, and the benefits of using a feature store. It is a well-known fact that many vendors are developing and offering feature stores as either a standalone product or an add-on to existing platforms to…

A Beginner’s Guide To Understanding Feature Stores In less than 5 minutes Feature stores are rapidly gaining popularity in the machine learning environment. When I initially began my quest to learn more about feature stores, I had a number of questions. The answers to these questions helped me understand what feature stores are and why they’re becoming…

Introduction to Snorkel Created in Stanford in 2016, Snorkel is a system for programmatically building and managing training datasets without the need for manual labelling. This replaces the very laborious task of getting humans to label enough data to train accurate machine learning models, saving both time and money. Win-win! In this example…

Why PySpark? Do you already know Python and work with Pandas? Do you work with Big Data? Then PySpark should be your friend! PySpark is a highly effective language as it enables data scientists to perform scalable data analysis, scalable machine learning, graph analysis, streaming and the creation of Machine…