Machine Learning Courses
Machine learning courses teach algorithms that enable systems to learn from data. Learn to build predictive models, train neural networks, and deploy intelligent applications. Mastering machine learning enables you to develop advanced AI solutions, crucial for roles in AI and data science.
Number of learners
8,932,455
Number of courses
850
Number of hands-on practice
2,391
Average course rating
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Instructors:
Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency Team
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Instructors:
Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency Team
Bestseller

Courses to get you started
Learn more about Machine Learning
A machine learning course teaches you the technology and concepts behind predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning training helps you stay ahead of new trends, technologies, and applications in this field.
Frequently asked questions
Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information around whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. In this particular example, we might use a neural network to learn these patterns, but machine learning can be much simpler than that. Even fitting a line to a set of observed data points, and using that line to make new predictions, counts as a machine learning model.