Support Vector Machines

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AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details
Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Aug 24th 2026
4 Weeks
Statistics Regression Neural Networks
Details
Machine Learning Using SAS Viya (Coursera) Coursera
SAS

Machine Learning Using SAS Viya (Coursera)

Data Science

Discover the fundamentals of supervised machine learning models using SAS Viya in this engaging online course. Gain a strong grasp on theory, practical application, and the entire analytical life cycle—from problem understanding to model deployment. Perfect for data scientists, analysts, and professionals looking to enhance their skills in predictive analytics and solve complex business problems.

Jul 6th 2026
5-12 Weeks
Algorithms Machine Learning Neural Networks
Details
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