Deep learning troubleshooting and debugging is really hard. It’s difficult to tell if you have a bug because there are...

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service...

There is traditionally no way to test marketing attribution models before using them in a real business context, seeing as...

Open source is a key enabler for enterprise data science, both in terms of the growing ecosystem of open-source tools...

INTRODUCTIONClustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we...

Introduction to Big Data provides a broad introduction to the exploration and management of large datasets being generated and used...

Sales is an integral function of any tech companies, especially enterprise software ones. If your company is building a consumer...

Decision tree is a type of supervised learning algorithm that can be used in both regression and classification problems. It...

Often a classifier will have some confidence value in each category. These are most often generated by probabilistic classifiers. Sometimes,...

The field of AI is broad and has been around for a long time. Deep learning is a subset of...

Ready to learn Data Science? Browse Data Science Training and Certification courses developed by industry thought leaders and Experfy in Harvard...

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard...