Tag: academic

Data Science Papers – Summer 2019 edition
Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow. Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some…

One Pixel Attacks on Neural Networks
An enlightening video about how a single pixel change can fool a neural network.

Help for Academic Programs in Data Science
Brandon Rohrer (along with others) created an excellent resource for academic programs, Industry recommendations for academic data science programs. The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs. Here are some of the topics: What do Industry data scientists do? What…

Papers for Teaching Undergraduate Data Science
If you work at a university and are considering starting an undergraduate program in data science, then today’s post is for you. A Guide to Teaching Data Science [2016] – focuses on increasing 3 skills (create, connect, compute) within Statistics departments to develop data science Teaching the Foundations of Data Science: An Interdisciplinary Approach [2016]…

Deep Learning Research Paper Lists for Summer 2017
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…

5 Data Science Research Papers to read in 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…

12 Useful Tips for Machine Learning
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 ITâ€™S GENERALIZATION THAT…

Data Science: The Paper that Started it All
Although Tobias Mayer may be known as the first data scientist, he did not coin the term data science. According to Wikipedia, the first use of the term data science was in 2001. Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics was published in the April 2001 edition…

New Data Science Journal
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…