Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron, Deputy Lab Director at Microsoft Research, and ask him all my questions. An … Continue reading Storing Data On a Piece of Glass – Microsoft’s Project Silica
Microsoft Research Open Data is a search engine for free datasets available from Microsoft Research. The datasets are primarily aimed at Natural Language Processing (NLP) and computer vision. Take a look if you are in need of a dataset for your next project.
An enlightening video about how a single pixel change can fool a neural network.
A timeline of Deep Learning papers (with download links) written since 2011 A large collection of Deep Learning papers broken out by specific topic. It also includes ratings. A list of papers to compliment Deep Learning Book The last links are not official academic papers, but they are quite good resources on deep learning. Revolution … Continue reading Deep Learning Research Paper Lists for Summer 2017
In the past, the blog has included 7 Important Data Science Papers and 5 More Data Science Papers. Here is another list if you are looking for something to read over the summer. Spark: Cluster Computing with Working Sets Ten Simple Rules for Effective Statistical Practice Probabilistic machine learning and artificial intelligence A survey on … Continue reading 5 Data Science Research Papers to read in Summer 2017
Twitter has just released the idea of a Data Grant. You have to login with your twitter account to see the details. The gist is: Twitter will provide you with historical twitter data for research purposes. What could you do with this data?
It is back-to-school time, and here are some papers to keep you busy this school year. All the papers are free. This list is far from exhaustive, but these are some important papers in data science and big data. Google Search PageRank - This is the paper that explains the algorithm behind Google search. Hadoop … Continue reading 7 Important Data Science Papers
Pedro Domingos of the Department of Computer Science and Engineering at the University of Washington provides a very useful paper with tips for machine learning. The paper is title, A Few Useful Things to Know about Machine Learning [pdf]. Below are the 12 useful tips. LEARNING = REPRESENTATION + EVALUATION + OPTIMIZATION IT’S GENERALIZATION THAT … Continue reading 12 Useful Tips for Machine Learning
Springer has just release a new data science journal named EPJ Data Science. The journal is open access which means that articles are freely available online. That catch is that people whom submit articles must pay a fee for publication. Sometimes the fee will be covered by the author's university or company. Anyhow, if you … Continue reading New Data Science Journal
Yesterday's announcement included a few main highlights: NIH will make 200TB of human genetic variation data freely available on Amazon Web Services NSF will provide $2M in support of undergraduate education for studying graphical and visualization techniques of bigdata DoD will announce some prize competitions in the coming months Numerous other projects to increase data … Continue reading Highlights of the White House BigData Research Initiative