- Free From Stanford: Machine Learning with Graphs - Apr 19, 2021.
Check out the freely-available Stanford course Machine Learning with Graphs, taught by Jure Leskovec, and see how a world renowned researcher teaches their topic of expertise. Accessible materials include slides, videos, and more.
Courses, Free, Graphs, Jure Leskovec, Machine Learning, Stanford
- Mining Massive Datasets, free Stanford online course, starts Oct 11 - Sep 29, 2016.
Top researchers Leskovec, Anand, and Ullman teach online course on Mining of Massive Datasets. The course is free and starts on Stanford platform Oct 11, 2016.
Anand Rajaraman, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, Online Education, Stanford
- Why You Should Attend the Data Science Summit 2016 and 9 Talks To Be Excited About - Jul 9, 2016.
Here is a preview of the Data Science Summit, July 12-13 in San Francisco, where you can meet quality people hear exciting talks like 9 described here. Get get 20% with the code SFDATASCIENCE.
CA, Data Science, Dato, Galvanize, Jure Leskovec, Pedro Domingos, San Francisco, Turi
- Coursera/Stanford “Mining Massive Datasets”, free online course - Jul 22, 2015.
Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Sep 12 on Coursera and is free.
Anand Rajaraman, Coursera, Data Science Education, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
- Coursera / Stanford Mining Massive Datasets MOOC, Jan-Mar 2015 - Jan 12, 2015.
Don't miss! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Jan 31 on Coursera and is free.
Anand Rajaraman, Coursera, Data Science Education, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
- Coursera / Stanford Mining Massive Datasets MOOC - Sep 16, 2014.
Don't miss this Big Data MOOC on Coursera (free)! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Starts Sep 29.
Anand Rajaraman, Coursera, Data Science Education, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
- KDD-2014 Ice Bucket Challenge - Aug 30, 2014.
KDD-2014 team of Jure Leskovec, Claudia Perlich, Sofus Macskassy, Gregory Piatetsky, and Rayid Ghani responds to the Ice Bucket challenge.
About Gregory Piatetsky, Claudia Perlich, Ice Bucket Challenge, Jure Leskovec, KDD-2014, Rayid Ghani, Sofus Macskassy
- Top KDnuggets tweets, Aug 25-26: KDD-2014 organizers (including Gregory) Ice Bucket challenge - Aug 27, 2014.
KDD-2014 organizers, including Gregory, take Ice Bucket challenge; Most important APIs every Data Scientist should know; Best Text Analytics Summit Presentations; Artificial Dataset Generation for Machine Learning.
About Gregory Piatetsky, Claudia Perlich, Cynthia Rudin, Dataiku, Jure Leskovec, KDD-2014, Rayid Ghani, Text Analytics
- Book: Mining of Massive Datasets, 2nd Edition, free download - Feb 12, 2014.
The second edition of this landmark book adds Jure Leskovec as a coauthor and has 3 new chapters, on mining large graphs, dimensionality reduction, and machine learning. You can still freely download a PDF version.
Anand Rajaraman, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, Stanford, Textbook
