Describe the concept of topic modeling and related terminology (e.g., unsupervised machine learning) Apply topic modeling to marketing data via a peer-graded project Apply topic modeling to a variety ...

Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...

Data is increasingly the differentiator between winners and also-rans in business. Today, information can be captured from many different sources, and technology to extract insights is becoming ...

Todd is the CEO and Co-Founder of OmniSci, the pioneer in accelerated analytics that enables businesses to uncover important insights. For years, analytics and data science had always been siloed and ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...

Data is powerful, and professionals who know how to maximize it are in demand. At Michigan Tech, our business analytics students become experts who understand how to analyze and optimize both ...

This program equips participants for thriving careers by assisting organizations locally and globally in making informed decisions through analytics. It prepares participants to adeptly handle ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...