An Algorithm Conference workshop by two Twitter ML engineers
How to curate quality datasets for machine learning is the title of a workshop that will be conducted by a couple of machine learning engineers from Twitter, Inc. on Day 1 of Algorithm Conference, that is, on July 16, 2020, at the Thompson Conference Center on the campus of The University of Texas at Austin.
Target audience: Developers, aspiring developers, and technical (project) managers.
Date: July 16, 2020
Time: 8 a.m. – 10 a.m.
Instructors: Jigyasa Grover and Rishabh Misra
Location: Room 3.108, Thompson Conference Center, University of Texas at Austin.
In the contemporary world of machine learning algorithms, data is the new oil. And for state-of-the-art machine learning algorithms to work their magic, it’s important to have access to relevant data. Though volumes of crude data are available on the web, we still need the ability to identify and extract them into meaningful datasets.
This workshop will present the power of one of the most fundamental aspects of machine learning – dataset curation, which often does not get is due but is highly relevant in machine learning.
You’ll learn why dataset curation is important in specific industry use cases, and also learn, via hands-on Pythonic examples, how to construct good quality datasets.
The methods and tips shared in this workshop have come in handy for the instructors when publishing high-grade research papers, at their current employment with Twitter, Inc., and at prior engagements in the industry and academia.
Detailed class schedule will be published shortly. Stay tuned! But don’t let that stop you from getting your tickets before they sell out.
And perform the following actions on your computer:
1. Install or update to Google Chrome’s latest version (v79).
2. Download Chrome Driver with version matching the Google Chrome’s version from here
3. Install Jupyter Notebook from here
4. Install Beautiful Soup and Selenium packages.
5. Ensure that the starter code in curating quality ML datasets works on your computer.
Registration for this workshop and for the conference itself is now open. You may register for one or both. The workshop has a limited number of tickets, so hurry and register if you want to guarantee yourself a seat. To reserve your ticket(s), click on that big red button.
The 2017 Red Hat Women in Open Source Academic Award Winner and Google Summer of Code alumna, I am an ardent open source enthusiast and a budding researcher, with work experience at the San Diego Supercomputer Center; National Research Council of Canada; and the Institute of Research & Development, France. I also briefly worked on anomaly detection frameworks in the ads system at Facebook.
I was the Director of Women Who Code and Lead of Google Women Techmakers for a handful of years. Aside from teaching this workshop with my colleague Rishabh Misra, I’ll also be giving a presentation that sheds some light on an informal taxonomy of machine learning algorithms.
I live in San Francisco, California.
I am passionate about identifying and tackling novel and practical problems using my machine learning expertise. I also like messing with data. The bigger, the bettter. The datasets I’ve collected as part of my research have been very well received by the machine learning community, and I’m currently ranked 23 as a dataset contributor on the Kaggle platform. My dataset on Sarcasm Detection has been used in Deeplearning.ai’s Natural Language Processing in TensorFlow course on Coursera.
I love explaining convoluted concepts in an accessible manner and have written several articles with the TowardDataScience online publication. I have a masters degree in computer science from the University of California San Diego, and currently work as a machine learning engineer at Twitter Inc.
Exploring machine learning on the edge is the title of another workshop that will be conducted by representatives from Particle during Algorithm Conference. It is recommended for developers, CTOs, and technical (project) managers.
Thursday, July 16, 2020 (8 a.m. - 10 a.m.)
Thursday, July 16, 2020 (1:30 p.m. - 5 p.m.)
Friday, July 17 - Saturday, July 18, 2020
All Algorithm Conference workshops will be held in Room 3.108 inside the Thompson Conference Center on the campus of the University of Texas at Austin. The address is 2405 Robert Dedman Dr., Austin, Texas 78712
All plenary conference sessions will be in the LBJ Auditorium of the LBJ Presidential Library, located at 2313 Red River St, Austin, Texas. The auditorium has a seating capacity of just under 1,000.
Austin is the state capital of Texas and also the tech capital of the state. It’s the home for major tech conferences in Texas.
Austin in the summer is warm and buzzing with activity. No better city to spend your summer in the southern US. And no better conference to attend next summer than Algorithm Conference.
Algorithm Conference is the event you want to get on stage and represent your company before some of the best minds active in the areas of big data, articial intelligence and blockchain technologies.
Becoming a sponsor (guarantees speaking oportunity) or exhibitor gives you multiple opportunities to showcase your brand and services before a dedicated and influential audience.
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Due to the raging covid-19 pandemic, Algorithm Conference has been postponed until further notice. With two vaccines already approved and a couple more expected to be approved early 2021, many experts believe that we should begin getting back to normal by Summer, assuming the vaccination programs go as planned.
So tentatively, we should be able to host an in-person conference by Fall 2021. The good news is, people want to get together like during the pre-pandemic days, so we’re sure that when the conference eventually takes place, it will be a resounding success.
All things being equal, we’ll announce a new date by March 2021. Ticket sale is still ongoing, so you may buy your tickets very early now.