FEATURED CATEGORIES
WHY ONLEDU ?
that is good for our mind, body and spirit.
FEATURED PRODUCTS
Modeling Risk and Realities
Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. read more...
Sustainable Food Production Through Livestock Health Management
Learn about the impact of infectious disease on sustainable animal-based food production by understanding the science of growth, immunity, and infection and by learning the problem-solving skills needed to advance animal health and food production through optimal management practices. read more...
Mathematics for Machine Learning: Linear Algebra
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. read more...
Science of Exercise
Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training.read more...
Negotiation Fundamentals
This course gives you access to negotiation practical tools and best practices gathered by Professor Aurélien Colson & his team. read more...
FinTech: Foundations, Payments, and Regulations
In this course, you'll learn the key components of modern-day investment strategies which utilize fintech. read more...
Algorithmic Toolbox
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. read more...
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. read more...
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