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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 a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
In this online course, participants will learn the basics of modern Artificial Intelligence (AI).The course also includes some of the representative applications of AI,...
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This online course explores how to apply machine learning in practice, using Google's approach including TensorFlow models.
This online course gives an introduction to machine learning applications in finance organizations such as hedge funds or banks.
In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.
In this course, students will create classifiers that provide state-of-the-art performance on a variety of tasks and will become familiar with some of the most successful...
This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...
This online course gives an introduction to AI, Big Data, and Machine Learning for learners with a business background.
Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
This online video lecture series gives an introduction to machine learning and pattern recognition.
This online course explores key AI concepts, including machine learning, deep learning and neural networks. The course is designed for beginners and no programming skills are...
This online course gives an introduction to deep learning for applications such as natural language processing, computer vision, and many others. It is designed for students...
This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.
This online course gives an introduction to deep learning in the context of enterprises. It includes various industry applications and examples with the TensorFlow framework.
This course teaches how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include...
This online course will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.
In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...
This MOOC teaches fundamentals of probabilistic analysis and inference. Participants of the course will build computer programs that reason with uncertainty and make...
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