MLBytes Workshop: Kabir Seth, Dow Jones
Bio Kabir Seth is currently the Vice President of Operations, Machine Learning, and AI Strategy for the Wall Street Journal Product, Design and Engineering team. He has worked in a variety of industries including Apparel, Travel and Children's media. He enjoys spending time with his family watching movies, playing with legos and writing fiction. Abstract The talk will cover some AI and ML initiatives across the Wall Street Journal Newsroom and Dow Jones in general. This includes many examples of Natural Language processing as well as Neural Networks. We will also look at how AI is being used in the Newsroom for the 2020 Elections. Finally, we may walk through an example of how we approach business problems that could be solved with AI/ML
Data Dialogue: Jascha Swisher, Laboratory of Analytic Sciences
October 25, 2019 Data Dialogue Jascha Swisher, Laboratory of Analytic Sciences GH 103 11:45-1:00 pm
Sensing, Signals, and Communication Seminar with Jean-Francois Chamberland, Texas A&M
Coding and Compressed Sensing for Unsourced Multiple Access Currently deployed wireless access systems based on sustained connectivity, channel estimates, and scheduling policies are ill-equipped to deal with the sporadic traffic generated by legions of unattended wireless devices. This impending technological challenge has fueled several recent research initiatives whose shared goal is to ready wireless infrastructures for the demands of tomorrow. Pertinent recent advances in this area include the introduction of unsourced, uncoordinated multiple-access models attuned to machine-driven communications and the assessment of their fundamental limits for messages with small payloads. This presentation will review recent contributions on this topic and focus on a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent progress in compressed sensing and forward error correction to produce a novel uncoordinated access paradigm, along with a computationally efficient decoding algorithm. Within this framework, every active device partitions its data into several sub-blocks and, subsequently, adds redundancy using a systematic linear block code. Compressed sensing techniques are then employed to recover sub-blocks up to a permutation of their order, and the original messages are obtained by stitching fragments together using a tree-based algorithm.
DVS Workshop: Advanced ggplot2 techniques
This workshop will build on the basic Visualization in R using ggplot2 workshop (see a previous recording and the associated files). The workshop will offer more practice through additional examples and chart types. We will also cover customizations to charts by editing chart themes, adding annotations, and using color palettes. Prior experience with R and ggplot2 is expected for this workshop.
DVS Workshop: R Open Lab: semi-structured opportunities for learning R
This new series is designed to help us all learn in groups. The six-week, guided learning hour will provide a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The series goal is to enable researchers and students a low-stress hour to learn and hone data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency as vital components of the researcher's workflow. Event Dates are all on Mondays: Sept. 16, Sept 23, Sept 30, Oct. 14, Oct. 21, Oct. 28.
DVS Workshop: Research Data Management 101 + Tool Demonstrations
Researchers work with lots of data both big and small, in many different formats and across various digital systems. The first hour of this workshop will introduce good digital data management practices and how they can be practically applied throughout the research lifecycle. Good data management practices cover pre-project planning, active workflow organization, documentation, storage and backup strategies, and optimizing your final "data package" to fulfill research quality and reproducibility requirements and facilitate and new research. The second hour of this workshop will offer a mini "tour" of research data management tools including GitHub, LabArchives, and Tropy. Participants will be able to attend two of these demonstrations in the time allotted. We will end with a share out about what you've learned and how you might apply the tool to your own work. Laptops recommended.