Professional Development Seminars

Title Event date Lecturer(s) Abstract
Neural Networks and Deep Learning – a Practical Introduction with CL Kim Saturday, October 16, 2021 - 9:00am CL Kim

Image recognition, speech recognition, and natural language processing are among the challenging problems for which neural networks and deep learning can provide solutions.

• A neural network can learn the weights and biases of its artificial neurons from training examples using stochastic gradient descent.
• A backpropagation algorithm makes it practical to use neural networks to solve problems previously thought to be insoluble.
• Iterating a deep neural network over too many training epochs can result in overfitting, but there are ways to ameliorate that problem.

Design for Delight — Transforming Your Designs From Good To Great Deliver The Most Delightful Experiences To Your Users Saturday, November 2, 2019 - 8:30am Jared Spool

Focus your design efforts on the big customer problems.

Move away from the shiny new features that only make your product or service more complex. Create products and services which change people’s lives.

Rally support for delivering best-of-class products.

Corporate mission statements are too vague and buzzword ridden to design to. Put your customers in the center of your organization’s long-term product strategy by broadening your research approach.

Guide smart decisions backed by solid data.

Career Success: Jobs, Continuous Learning, and Advancement with Demetrios Karis Saturday, November 10, 2018 - 9:00am Demetrios Karis Saturday, November 10, 2018

Transform your job into a successful and satisfying career. Networking is critical for finding jobs, while continuous learning is critical for advancement. What should you do after you have a job, and what are the best ways to advance in your career? Many of the skills required for finding that first job need to be maintained and upgraded for career success. In addition, continuing to learn new skills and information will be indispensable throughout your professional life.

Practical Data Visualization with R Saturday, October 3, 2015 - 8:00am Robert Kabacoff, Ph.D.

Back by Popular Demand!

In 2014 Robert Kabacoff delivered a GBC/ACM seminar on R. That seminar was a great introduction to R, focusing on learning R and applying it to Big Data Analytics. The attendees wanted more - specifically more on using R for data visualization, graphics, and presentations. Based on this demand, Dr. Kabacoff has agreed to deliver a follow-on workshop dedicated to visualization.

Visualization in R

Data visualization has become a central feature of modern data analysis. The R platform provides one of the most flexible and powerful platform for graphing data, understanding and evaluating statistical models, and communicating results to others.

This day-long workshop will provide practical review of R’s major graphing capabilities, including its base functionality and exciting new capabilities provided by add on packages (including ggplot2, ggvis, and rCharts).

R for Software Developers and Data Analysts Saturday, June 28, 2014 - 8:00am Robert Kabacoff, Ph.D.

Big Data Analytics

If you are looking at this workshop, you probably have some data that you need to collect, summarize, transform, explore, model, visualize, or present. If so, then R is for you! R has become the world-wide language for statistice, predictive analytics, and data visualization. It offers the widest range of methodologies for understanding data, from the most basic to the most complex and bleeding edge.

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