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Our Courses
Information Visualization: Applied Perception
This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
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Course by
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Self Paced
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12 hours
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English
Principal Component Analysis with NumPy
Welcome to this 2 hour long project-based course on Principal Component Analysis with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals.
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Course by
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Self Paced
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3 hours
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English
Logistic Regression with NumPy and Python
Welcome to this project-based course on Logistic with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent, cost function, and logistic regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals.
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Course by
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Self Paced
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2 hours
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English
Collaborative Robot Safety: Design & Deployment
As robots evolve and increasingly interact with humans, enhancing the safety of personnel working with these “collaborative robots” (cobots) is vital. This course equips you to assess the safety of a collaborative robot workcell and prevent the chances of injury or harm. It imparts industry-endorsed safety standards, technical report recommendations and best practices from the International Organization for Standardization (ISO), Robotic Industries Association (RIA) and Occupational Safety and Health Administration (OSHA).
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Course by
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Self Paced
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16 hours
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English