This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

Introduction Time and again, Data Science has made its mark on human society. It is repeatedly making headlines in newspapers ...

Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...

At its very basic level, artificial intelligence is a kind of machine learning. Once fed enormous amounts of data, it can use that information to recognize patterns, and to make decisions or ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

unsupervised learning, and an introduction to neural networks. Over the course of eight weeks, you’ll learn how to match a suitable machine learning technique to a particular problem to make accurate ...