4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market

[unable to retrieve full-text content]We examine the implications of trends in hiring market, including the growth of quantitative Initiatives, blurring of the lines between Predictive Analytics and Data Science Professionals, and more .
Original Post: 4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market

RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton

[unable to retrieve full-text content]At the Deep Learning Summit in Montreal last week, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada.
Original Post: RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton

Astrostatistics school

What a wonderful week at the Astrostat [Indian] summer school in Autrans! The setting was superb, on the high Vercors plateau overlooking both Grenoble [north] and Valence [west], with the colours of the Fall at their brightest on the foliage of the forests rising on both sides of the valley and a perfect green on the fields at the centre, with sun all along, sharp mornings and warm afternoons worthy of a late Indian summer, too many running trails [turning into X country ski trails in the Winter] to contemplate for a single week [even with three hours of running over two days], many climbing sites on the numerous chalk cliffs all around [but a single afternoon for that, more later in another post!]. And of course a group of participants eager to learn about Bayesian methodology and computational algorithms,…
Original Post: Astrostatistics school

Data from Public Bicycle Hire Systems

A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps made the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle hire systems operate in many cities throughout the world, and most systems collect (generally anonymous) data, minimally consisting of the times and locations at which every single bicycle trip starts and ends. The bikedata package provides access to data from all cities which openly publish these data, currently including London, U.K., and in the U.S.A., New York, Los Angeles, Philadelphia, Chicago, Boston, and Washington DC. The package will expand as more cities openly publish their data (with the newly enormously expanded San Francisco system next on the list). The short…
Original Post: Data from Public Bicycle Hire Systems

How we built a Shiny App for 700 users?

One of our senior data scientists, Olga Mierzwa-Sulima spoke at the userR! conference in Brussels to a packed house. The seats were full and there were audience members spilling out the doors. Source: https://twitter.com/matlabulous/status/882530484374392834 Olga’s talk was entitled ‘How we built a Shiny App for 700 users?’ She went over the main challenges associated with scaling a Shiny application, and the methods we used to resolve them. The talk was partly in the form of a case study based on Appsilon’s experience. In this talk, Olga shared her experience from a real-life case study of building an app used daily by 700 users where our data science team tackled all these problems. This, to our knowledge, was one of the biggest production deployments of a Shiny App. Shiny has proved itself a great tool for communicating data science teams’ results.…
Original Post: How we built a Shiny App for 700 users?

Data acquisition in R (1/4)

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do not attempt to show all the data possibilities and tend to focus mostly on demographic data. If your prime interest lies outside human population statistics, it’s worth checking the amazing Open Data Task View. The series consists of four posts: Loading prepared datasets Accessing popular statistical databases Demographic data sources Getting spatial data For each of the data acquisition options I provide a small visualization use case. For illustration purposes, many R packages include data samples. Base R comes with a datasets package that offers a wide range of simple,…
Original Post: Data acquisition in R (1/4)

KDD Impact Program to support Data Science projects with positive impact on society

[unable to retrieve full-text content]The KDD Impact Program is looking to fund projects that have potential for a significant impact on society, expand outreach of data science, and strengthen the community, with grants of $10k-$100k for each project. Submission deadline is Dec 1, 2017.
Original Post: KDD Impact Program to support Data Science projects with positive impact on society

KDD Impact Program to support Data Science projects with positive impact on society

[unable to retrieve full-text content]The KDD Impact Program is looking to fund projects that have potential for a significant impact on society, expand outreach of data science, and strengthen the community, with grants of $10k-$100k for each project. Submission deadline is Dec 1, 2017.
Original Post: KDD Impact Program to support Data Science projects with positive impact on society

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