Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018 - Dec 12, 2017.
The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.
2018 Predictions, Carla Gentry, Data Science, Eric Siegel, Jeff Ullman, Jen Underwood, Jill Dyche, Kirk D. Borne, Machine Learning, Predictions, Rexer Analytics, Tom Davenport, Trends
- Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers - Jan 9, 2015.
We asked global research leaders in Data Science and Big Data what are the most interesting research papers/advances of 2014 and what are the key trends they see in 2015. Here are their answers.
Charu Aggarwal, Deep Learning, Eamonn Keogh, Healthcare, Jeff Ullman, Jian Pei, Jiawei Han, Mohammed Zaki
- 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
