| |
|
|
| |
EVENT DETAILS |
|
<P>This is a two part Meetup! Expect a talk & a hands on workshop :) <BR> <BR> <STRONG>Agenda:</STRONG> <BR> <STRONG>6:30 pm - 7 pm:</STRONG> Networking & Snacks <BR> <STRONG>7:00 pm - 7:30pm:</STRONG> Part 1 Talk + Q/A <BR> <STRONG>7:30 pm - 9:00 pm:</STRONG> part 2 Talk/Workshop<BR><BR> <STRONG>Part 1: Visual Analytics at Scale with xSeer</STRONG> <BR> Data has been growing at breakneck speeds & many data warehousing & processing platforms have been built to keep up with this size of data. However, visual data representation has essentially remained the same over the past century with severe limitations on the size of data they can present. The xSeer team will share their research from CMU & tools they've created to allow intuitive visualization at a massive scale.<BR><BR> <STRONG>Part 2: Intro to Scikit-learn</STRONG> <BR> In this workshop, you will learn: <BR> - Recognize problems that can be solved with Machine Learning <BR> - Select the right technique <I>(is it a classification problem? a regression? needs preprocessing?) <BR> </I>- Load & manipulate data with Pandas <BR> - Build classification models with Scikit-Learn <BR> - Evaluate model performance with Scikit-Learn<BR><BR> <STRONG>Level:</STRONG> <BR>Intermediate<BR><BR> <STRONG>Prerequisites:</STRONG> <BR> What the audience should know (or have pre-installed) to get the most value. <BR> - Anaconda Python 3.6<BR><BR> <STRONG>Meet Your Instructor:</STRONG> <BR> The workshop is lead by Francesco Mosconi. Ph.D. in Physics & Data Scientist at Catalit, he was formerly co-founder & Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration & physical activity. Machine Learning & python expert he also served as Data Science lead instructor at General Assembly & at The Data incubator.<BR></P>
|
|
|
|
|
|
