Mining Massive Datasets
REGISTER: Sign me up
free course
We introduce the participant to modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms from good algorithms in general. The rest of the course is devoted to algorithms for extracting models and information from large datasets. Participants will learn how Google's PageRank algorithm models importance of Web pages and some of the many extensions that have been used for a variety of purposes. We'll cover locality-sensitive hashing, a bit of magic that allows you to find similar items in a set of items so large you cannot possibly compare each pair. When data is stored as a very large, sparse matrix, dimensionality reduction is often a good way to model the data, but standard approaches do not scale well; we'll talk about efficient approaches. Many other large-scale algorithms are covered as well, as outlined in the course syllabus.
Saiba mais.This course is available to subscribers! Get to know the plans.
Digital or printed certificate available for individual purchase upon completion
On completion of this course, you can purchase a separate digital certificate for download at a cost of $ 3,74
Increase your chances of being hired by qualifying your skills with certificates.
Here at Learncafe you can access your course whenever you want. Courses are available 24 hours a day, every day of the week.
Além de ser uma plataforma fácil de usar, em qualquer aparelho com acesso à internet, você ainda poderá adquirir um certificado digital para download ao concluir o seu curso, ao custo de $ 3,74
Learning is never too much. We create this profile so you can access various free courses. From the available material, you can acquire new knowledge on topics such as: education, health, among other areas. All works and materials have the rights reserved to their respective authors.
view profile see coursesGeneral evaluation of the course:
The knowledge you've been looking for to improve your
career is just a few clicks away!