
Machine Learning | Coursera
The new Machine Learning Specialization includes an expanded list of topics that focus on the most crucial machine learning concepts (such as decision trees) and tools (such as TensorFlow).
Supervised Machine Learning: Regression and Classification - Coursera
By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems.
Machine Learning Online Courses | Coursera
Choose from hundreds of free Machine Learning courses or pay to earn a Course or Specialization Certificate. Machine learning courses focus on creating systems to utilize and learn from large sets of …
Machine Learning | Coursera
You will be able to use machine learning techniques to solve complex real-world problems, by identifying the right method for your task, implementing an algorithm, assessing and improving the algorithm’s …
What Is Machine Learning? Definition, Types, and Examples - Coursera
Oct 15, 2025 · Explore the basics of how machine learning technologies work, train a machine learning model using a dataset, and learn more about the benefits and challenges of using machine learning …
Andrew Ng’s Machine Learning Collection - Coursera
As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, robotics, and …
Machine Learning - Coursera
This Course Machine Learning offers a comprehensive, hands-on introduction to building and deploying machine learning models using Python. It is designed for learners with a foundational understanding …
Free Machine Learning Courses & Certificates [2026] | Coursera
Learn machine learning basics and explore how models are built and applied in a free introductory course. Enroll for free.
Advanced Methods in Machine Learning Applications - Coursera
This course provides a comprehensive exploration of advanced machine-learning techniques, including ensemble methods, regression analysis, and unsupervised learning algorithms.
Machine Learning Essentials - Coursera
Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.