Course

Mining Massive Datasets


Save for laterSavedDeleted 0

👤 Join WhatsApp Learners
Deal Score0

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

Join Email Learners

Follow the guide on landing page

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

The book is published by Cambridge Univ. Press, but by arrangement with the publisher, you can download a free copy Here. The material in this online course closely matches the content of the Stanford course CS246.

The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms.

  • MapReduce systems and algorithms
  • Locality-sensitive hashing
  • Algorithms for data streams
  • PageRank and Web-link analysis
  • Frequent itemset analysis
  • Clustering
  • Computational advertising
  • Recommendation systems
  • Social-network graphs
  • Dimensionality reduction
  • Machine-learning algorithms
Mining Massive Datasets
0


PREMIUM COURSE: Learn The Ultimate WhatsApp Lead Generation Blueprint: How to get customers with Facebook Ads (CLICK HERE TO LEARN MORE!)



DISCLAIMER: Courses on Future Syllabus are free but subject to return to their original prices on host platforms upon coupon expiration. Enrol while they are free.




Silas Bamigbola

Certified Computer Engineer & Author, 'Lost Boys'. I believe in the influence of right information. Join me on Twitter.

Stay active

Leave a Reply

error: Content is protected !!
Future Syllabus
Logo
Register New Account
Login/Register via your social accounts (fully secured)

or proceed manually
Reset Password