This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured ...

This course investigates big data analytic and econometric methods, particularly machine learning methods, to better inform business and policy decision making. The fourth number of the course code ...

An in-depth exploration of methods for developing intuition and insights about data that enables effective problem formulation and its solution through data-driven methods. A broad range of advanced ...

During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable ...

Machine learning provides the intelligence underlying fields sometimes known as big data analytics, data science, and data mining. Machine learning is a subfield of Artificial Intelligence (AI) ...

Since the AI major was introduced in fall 2024 two courses, Introduction to AI and Linear Algebra with Machine Learning ...

In this course, you will learn various supervised Machine Learning algorithms and prediction tasks applied to different data. When to use which model and why, and how to improve the model performances ...

If you are looking for clear explanations and code examples to understand machine learning, this course is an excellent starting point. Data Science: Machine Learning by HarvardX This course is ...

Explore the top 6 programming languages for machine learning. Find out which languages are ideal for data analysis, ...

Students complete 12 courses: three core courses and nine electives in areas such as distributed computing, big data, machine learning and computational linguistics. Faculty mentors assist students ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a ...