Join us for a deep dive into the production scale for machine learning with Saif Abid.
Machine learning, in the past years, has become extremely popular. Numerous large corporation projects and startup ideas were founded by using Machine Learning. Even at GDG Toronto, we hosted two seasons of Machine Learning with Tensorflow.
However, what happens after an idea is created? How do we make it scalable? So that the algorithm will be sustainable.
This time, we invited Saif Abid to share his experiences on machine learning scalability.
Event Details:
- Next session will be on Thursday, September 15 at 6pm.
When:
- 6:00 pm Sharp!!
Where:
- RSVP'd participants will have access to the Bevy link!
Schedule:
- 6:00pm - Production Scale for Machine Learning session starts
- 6:05pm - Saif Abid’s Presentation
- 7:00pm - Discussions, Questions and Answers
Bitstrapped
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I’m a hands-on Technical Leader with a focus on People and Product.
I have a very deep interest and experience working with Golang, Distributed Systems, Data Engineering and ML. When I’m not working with teams to figure out what to build next or how to build it, I'm heads down getting services built and shipped to customers using best in class tech for the problems at hand.
Outside…
I’m a hands-on Technical Leader with a focus on People and Product.
I have a very deep interest and experience working with Golang, Distributed Systems, Data Engineering and ML. When I’m not working with teams to figure out what to build next or how to build it, I'm heads down getting services built and shipped to customers using best in class tech for the problems at hand.
Outside of tech a few of my interests include Healthcare, Investing and IoT and Sustainability. Over the years I’ve had the fortunate pleasure of launching successful products and/or businesses in quite a few of these domains. Most recently my team at ecobee launched Haven - ecobee's Home Security solution. Prior to this, in the capacity of a Lead Engineer and CTO I helped launch SwiftPad to help reduce the wait times and inefficiencies which come with pharmacies.
Overall I’m a strong believer in the saying “Purpose, People, Product, Profit” and have continued to stand by it with the teams and products I help build.
