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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 course intends to teach givers of all ages, backgrounds, incomes and experiences to give more effectively and will teach how to assess nonprofits, create a high-impact...
In this introductory, self-paced course, students will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.
This online course gives an introduction to economics (microeconomics and macroeconomics). The course is designed for beginners with no prior knowledge.
This online course explores Martin Luther King's life through the documents that have survived from the past.
In this course students will learn about audio signal processing methodologies that are specific for music and of use in real applications. They will learn to analyse,...
This online video lecture series gives an introduction to Computer Science, Internet technology and the basics of computer hardware (CS105 class at Stanford University). The...
This series of MOOCs explores the fundamentals of probabilistic graphical models.
This online course explores topics such as asymptotic notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and...
Cryptography is an indispensable tool for protecting information in computer systems. This course explains the inner workings of cryptographic primitives and how to correctly...
This online course gives an introduction to algorithms for learners with at least a little programming experience.
This online course covers the basics of R: a free programming language and software environment used for statistical computing and graphics.
This course teaches how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their...
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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