Today at Berkeley Lab

Today at Berkeley Lab Retires; the Elements Era Begins

Nearly 16 years after its debut on Feb. 3, 2003, the Lab’s online newsletter Today at Berkeley Lab (aka TABL) is retiring this week to make way for Elements, the Lab’s new employee news platform. TABL follows a long history of Lab newsletters, starting with the Radiation Laboratory Bulletin, followed by The Magnet, and then Currents and The View. More>

IT’s Campbell Advocates for Students at Richmond Kennedy High School

When Tammy Campbell isn’t leading the Lab’s IT Workstation Support Group, she likes to serve her West Contra Costa communities by advocating for students. Currently, she’s seeking volunteers as English writing and literacy coaches for her alma mater, Kennedy High School in Richmond, through WriterCoach Connection, a nonprofit supporting students in East Bay public schools. More>

Free Programming Fundamentals Training on Dec. 10

This half-day course is a free introduction to the basics of effective programming practices that even experienced programmers may not have effectively learned. The course is offered by the IT Division and will be taught on the UC Berkeley campus. No prior knowledge necessary. Space is limited. Registration is required.

IT Division Offers Free Big Data Training on Dec. 4 and 5

The last in a series of Xsede HPC workshops, offered Dec. 4 and 5 at Berkeley Lab from 8 a.m. to 2 p.m., will focus on big data and the use of Hadoop and SPARK. Registration is required by Thursday, Nov. 29.

Free ‘Introduction to Deep Learning in R’ Training on Nov. 28

This workshop introduces the basic concepts of deep learning, the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Go here for more information and to register.

Free Intro to Machine Learning in R training on Nov. 26 and 27

In this two-part workshop series, basic features of supervised machine learning algorithms will be discussed, including k-nearest neighbor, linear regression, decision tree, random forest, boosting, and ensembling. Training will be held at D-Lab, on the UC Berkely campus. Space is limited and registration is required. For more information and to register, click here.

IT’s Toledano Is Role Model for Latina Student in Nissan Video

After appearing in a video for Nissan’s diversity campaign last year, Soledad Toledano of the Lab’s IT Division suggested to the car company’s creative team the need to feature more women in STEM fields. They liked her idea and developed a new video featuring Latina high school senior Olga Hernandez. In the video Toledano shares with Hernandez her experiences as a woman working in technology, and surprises Hernandez with a powerful image of her possible future in cybersecurity.

IT Offers Free Google Cloud Platform Class Nov. 8-9

This instructor-led class teaches participants to derive insights through data analysis and visualization using the Google Cloud Platform, and features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse data sets. Data loading, querying, modeling, optimizing performance, machine learning, and data visualization will be covered. Register here.

IT Division Offering Free Four-Part, Python Fundamentals Workshop in November

IT’s free four-part, interactive Python Fundamentals Workshop series is a complete introduction to programming in Python for people with little or no previous programming experience. Courses will be taught by D-Lab on the UC Berkeley campus on Nov. 6, 8, 13, and 15. To register, go here.

Free MATLAB GPU Training, Nov. 2

Large-scale simulations and data processing tasks can take an unreasonably long time to complete. You can speed up these tasks with multicore computers, GPUs, computer clusters, and cloud computing services. MathWorks parallel computing products let you use these resources from MATLAB. Mathworks will provide free training on how to program parallel applications in MATLAB, but registration is required.