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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 gives a hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
This online course gives an introduction to developing deep learning models with Tensorflow (an open source machine library for deep learning).
This online course teaches how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact
This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...
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 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 is a business-oriented course on machine learning that covers the key concepts and technologies for beginners.
This online course teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.
How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...
This online course explores how to analyze data in Python, using multi-dimensional arrays in numpy, manipulating DataFrames in pandas, using SciPy library of mathematical...
This online course explores the fundamentals of Artificial Intelligence (AI). Participants will design intelligent agents to solve real-world problems, including search, games,...
Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...
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 course shows how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
This online course gives a basic introduction to the field of deep learning and to building a deep learning model using the Keras library. Some prior knowledge of Python and...
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 will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
This online course gives a short introduction to machine learning and data science for everyone.
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...
In this class, students will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
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