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A Million to One – A Million to One

A Million to One. A Million to One. I am an autonomy engineering manager at Uber ATG Toronto. We’re building self-driving vehicles using cutting-edge deep-learning models. In addition, I fairly regularly give presentations about machine learning, algorithms, big data, and their applications to high-school kids, university students, researchers, and non-technical audiences. I also participate in various career panels and career mentoring events. You are welcome to contact me. 2018 Post PhD UofT study.

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A Million to One – A Million to One | inmarg.net Reviews
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A Million to One. A Million to One. I am an autonomy engineering manager at Uber ATG Toronto. We’re building self-driving vehicles using cutting-edge deep-learning models. In addition, I fairly regularly give presentations about machine learning, algorithms, big data, and their applications to high-school kids, university students, researchers, and non-technical audiences. I also participate in various career panels and career mentoring events. You are welcome to contact me. 2018 Post PhD UofT study.
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2 publications
3 women in tech
4 ml in to
5 inmar givoni
6 upcoming presentations
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9 ai track coverage
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A Million to One – A Million to One | inmarg.net Reviews

https://inmarg.net

A Million to One. A Million to One. I am an autonomy engineering manager at Uber ATG Toronto. We’re building self-driving vehicles using cutting-edge deep-learning models. In addition, I fairly regularly give presentations about machine learning, algorithms, big data, and their applications to high-school kids, university students, researchers, and non-technical audiences. I also participate in various career panels and career mentoring events. You are welcome to contact me. 2018 Post PhD UofT study.

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A Million to One

http://www.inmarg.net/index.html

I am the VP of Big Data at Kobo. Its a fun team of some truly talented people, and we do interesting things using machine learning, NLP, a lot of much hyped big data technologies, and hopefully, some common sense. You are welcome to contact me. If you are interested in something like that. As a technical woman, Im particularly interested in outreach activities for young women, encouraging them to choose technical career paths. Here are some of my thoughts. Sept 19, 2016 - UPenn. April 1st, 2016 - Using B...

2

A Million to One

http://www.inmarg.net/index_old.html

Well, that's it folks. On Nov. 15th, 2011, I defended my thesis. While I can still be seen around campus on occasion, I'm mostly elsewhere. The email address way down at the bottom of this webpage still works, if you've got something important to share (or if you want some code). At the University of Toronto. During the winter of 2009 I was a visitor at the CBL. Lab at the University of Cambridge. Later that year I interned at Microsoft Research - Search Labs. Working on project Kinect. Presented at the ...

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UofT Machine Learning | People

http://learning.cs.toronto.edu/people

Eddie K.H. Ng. Matthew J. Beal. Miguel A. Carreira-Perpinan.

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A Million to One – A Million to One

A Million to One. A Million to One. I am an autonomy engineering manager at Uber ATG Toronto. We’re building self-driving vehicles using cutting-edge deep-learning models. In addition, I fairly regularly give presentations about machine learning, algorithms, big data, and their applications to high-school kids, university students, researchers, and non-technical audiences. I also participate in various career panels and career mentoring events. You are welcome to contact me. 2018 Post PhD UofT study.

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In Margins | The Art of Kelli King

The Art of Kelli King. A bit about the lady…. Kelli is the oldest of five children who grew up in a home where cartoons and games were made readily available at all times, and being a nerd was about as natural as breathing. She is an aspiring artist, who has been drawing since she could hold a pencil. Kelli has a BFA with concentrations in oil painting and computer animation. Stuff and Things…. Here's to the doodles. That don't always happen when they're supposed. A theme by CSSIgniter.com.