Browse courses in machine learning

Q: What are the main types of machine learning?

There are three main types of machine learning: Supervised machine learning: Researchers compare the machine learning outcome to the known, correct outcome. This method evaluates the machine learning model's accuracy. Unsupervised machine learning: The machine learning model uses unlabeled data to extract trends and forecast outcomes from the data. Reinforcement learning: The machine learning model, called an "agent," learns by receiving positive and negative feedback based on its interactions with an environment.

Machine learning, a type of artificial intelligence, has transformed many growing industries. From finance to healthcare, corporate recruiters see machine learning as an increasingly valuable skill for candidates.

Learn about career pathways today with online machine learning courses on edX.

Gain machine learning skills with edX

Develop in-demand foundational skills and specialized knowledge in machine learning with courses on edX to help you transform your workplace and qualify for new jobs in the tech industry.

Why take courses in machine learning?

Machine learning offers many opportunities for workplaces to enhance efficiency, find data-driven insights, predict trends, and manage risk. Because machine learning has many applications across industries, workers in computer science, finance, marketing, and many other fields can employ machine learning skills.

edX courses can help you build many valuable machine learning skills for modern work environments, such as:

Prompt engineering
Programming
Linear algebra
Data analytics
Database administration
Machine learning ethics

Paths for learning ML on edX

Earn a Degree

Find the best degree program for your needs on edX. If you're interested in machine learning and data science, explore these online degrees:

Gain credentials

Develop your machine learning skills without investing time and money in a degree program. Discover the best course option on edX for you:

Elevate your career

Build on your industry knowledge and discover innovations for your workplace with these machine learning Executive Education programs on edX:

Machine learning Executive Education programs online

Frequently asked questions about studying ML

What are the main types of machine learning?

There are three main types of machine learning:

Supervised machine learning: Researchers compare the machine learning outcome to the known, correct outcome. This method evaluates the machine learning model's accuracy.
Unsupervised machine learning: The machine learning model uses unlabeled data to extract trends and forecast outcomes from the data.
Reinforcement learning: The machine learning model, called an "agent," learns by receiving positive and negative feedback based on its interactions with an environment.

What is the difference between AI and ML?

Artificial intelligence encompasses a wide range of specializations, including machine learning. In other words, ML is always AI, but AI isn't always ML.

AI refers to any technology that aims to mimic human reasoning.
Machine learning is a specific technology that analyzes patterns in data and uses those patterns to inform future decisions.

Should I get an ML certification?

Machine learning is a relatively new technology with many undiscovered uses and developments, so you may benefit from getting a certification in this ever-expanding sector. Additionally, as more industries discover new use cases for machine learning technology, these skills will likely grow in demand and may lead to new job opportunities.

Does machine learning require math?

Yes, machine learning relies on data, statistics, and probability to determine its outputs. As a result, a strong foundation in mathematics, especially in areas like linear algebra, calculus, and statistics, is essential for developing machine learning systems.