We also offer a set of lecture slides that we use for teaching Stanford CS246: Mining

There is a new chapter 13, covering deep learning. It contains new material on Spark, Tensorflow, minhashing, community-finding, simrank, graph algorithms, and decision trees. The following is the third edition of the book. We welcome your feedback on the manuscript. Cambridge University Press does, however, retain copyright on the work, and we expect that you will obtain their permission and acknowledge our authorship if you republish parts or all of it. You can get a 20% discount by applying the code MMDS20 at checkout.īy agreement with the publisher, you can download the book for free from this page. Mining of Massive Datasets book has been published by Cambridge To support deeper explorations, most of the chapters are supplemented with further reading references. The book, like the course, is designed at the undergraduate computer science level with no formal prerequisites. The book is based on Stanford Computer Science course CS246: Mining

Techniques to process large datasets and extract valuable knowledge from them. Here you will learn data mining and machine learning

Data science ppt 2019