With the rapid integration of AI and automation into the marketing sphere, staying ahead of the curve requires continuous ...

Adaptive ML pipelines excel at dynamically adjusting to incoming data, addressing issues like concept drift and shifting data ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, ...

The class also provides the knowledge needed to apply the techniques to new problems. It is a broad course and an introduction to Machine Learning, Datamining, and Statistical Pattern Recognition.

The course is divided into several exercises, each focusing on different aspects of machine learning. Each exercise is contained in its own directory with relevant files and documentation.

For supplementary readings, with each lecture, we will have pointers to either online reference materials, or chapters from the following books: CB: Pattern Recognition and Machine Learning, ...