AI Deep Dive @AI_DeepDive
AI Deep Dive is a 3-month Toronto training to take technologists to a level where they can join the AI industry. Teachers are lead practitioners. Projects work! aideepdive.com Toronto, Ontario Joined February 2019-
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Full house at tonight’s #TechTO @RBC ! Thank you to @lucasfolds, @NadyaKhoja, @ndolgoy, @karnsaroya, @parkdan and Toronto’s tech community for joining us!
We’re very excited to announce that Dessa has joined Square! Learn more in this letter from our co-founder + CEO, @spiron, and stay tuned for what’s next: buff.ly/2UyGz5b
"The Dark Side of Microservices, Explained" hackernoon.com/the-dark-side-… #microservices #distributedinfrastructure
3 years ago today I was working at a 5-person startup in Boston that folded in less than a year. Now I’m in Canada, at a company that has rocketed from 100 to 200 employees over the past 7 months. Life is funny.
Execellent post on how stephen Wolfram organizes his life. Standing table with a treadmill before they were fashionable. Lots of actionable tps. He is a remote CEO, which is quite impressive. t.ly/W3Oxv
Fate whispers to the warrior, 'You can not withstand the storm.' The warrior whispers back, 'I am the storm.'
Job Tenure and the Myth of Job Hopping :On average, people are staying in their jobs a little longer than they did a few years ago, according to the latest numbers from the Bureau of Labor Statistics (BLS) in 2018. t.ly/LMpEV #ML #Jobs
Since the half-life of a skill has dropped from 30 years to an average of 6 years, it’s time for all of us to begin acquiring #skills that will make us valuable resources in the #futureofwork. @BernardMarr in @Forbes. Cc: @andi_staub #career #jobs bit.ly/38IwhDt
"Machine Learning Platforms Vs. Machine Learning Consulting Companies" hackernoon.com/machine-learni… #machinelearning #machinelearningconsulting
FastAPI, the library that spacy uses for APIs, is amazing : t.ly/w8LPM #ML #AI #APIs
Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow or MXNet. By Matt Honnibal from @Spacy! tinyurl.com/w97qlsj
Revenue from Apple’s services segment surprisingly missed expectations. That bodes ill for the company’s plans to shift its focus away from hardware and towards recurring subscription sales. Via @finimize finimize.com/wp/news/apples…
"Lessons Learned from My First MiniCompetion", by @pevansimpson, a current participant at @dataScienceRet. "To achieve and maintain this state, we held 3 - 5 minute meetings every 45 - 90 minutes." Nice tool to work on tight deadlines (2.5 days to solve a fullstack DS task). #AI
"If your posture is to give hoping that you’ll earn the moral high ground and thus get something back, you didn’t give first. You gave second. You’re saying, “how can I incur a debt, one that I’m going to use to achieve my goals.” @SethGodinBlog
Fusion is the only way for humanity to survive. We should focus AI into solving fusion. #crazyideaMonday (thread after a conversation with @sehailfillali, my friend and @AI_DeepDive participant in Toronto). Feel free to add any 'out there' idea you have here :)
Because AI is a general tool, finding a good use case provides lots of leverage. Using AI to help solve fusion is the most leverage I can think of. Any #billionaire out there caring to chip in? :) I have two rooms full of smart people in two continents @dataScienceRet @AIdeepdive
Recently I heard on a podcast that failure and success are not opposites. In fact, you can't succeed unless you fail. Success is finishing a marathon and failure is all the training, eating well, etc. to be able to run. So you actually need to fail harder and faster to succeed.
First Recommenders class over. Damn, there has been progress in the last few years!
TPOT: A Python tool for automating data science. Datarobot/AutoML in a library. Plug and forget. Automating the data scientist job since 2016 :) randalolson.com/2016/05/08/tpo…
We spent $700 billion bailing out Wall Street. With that money, we could afford: - 8 million school teachers - 12 million infrastructure jobs - 78 million Head Start slots or - 196 million adults getting Medicaid We already have socialism. It’s for the rich.
We spent $700 billion bailing out Wall Street. With that money, we could afford: - 8 million school teachers - 12 million infrastructure jobs - 78 million Head Start slots or - 196 million adults getting Medicaid We already have socialism. It’s for the rich.

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