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This online course series explores the fundamental mathematics toolkit of machine learning and data science. It includes modules on linear algebra, calculus and...
This online course program explores the various applications of artificial intelligence. The courses include topics such as machine learning, deep learning and neural networks,...
This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
This online course gives an introduction to the fundamentals of Artificial Intelligence. It includes various topics in the field along with a discussion of foundational concepts...
This online course series gives an introduction to the concept of machine learning. It will be used by students to create real-world AI applications.
This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)
This online course gives an introduction to the basic ideas of machine learning and artificial intelligence without the technical programming tools that are used by more...
This online course shows how to work with big data and build machine learning models at scale using Spark.
This online course explores how machine learning can be used to solve financial data problems and create informative insights and predictions. The course is designed for anyone...
This course covers intermediate topics in data science. Students will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and...
This online course series gives an introduction to the key skills needed for data science, including probability and statistics, data analysis, and machine learning. Students...
This online course explores what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
This online video lecture series gives an introduction to machine learning and pattern recognition.
This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.
This online course gives an introduction to machine learning and includes a wide range of supervised-learning techniques, from simple linear regression to support vector...
This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...
This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....
In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.
This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
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