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!
Toronto, Ontario
Joined February 2019
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AI Deep Dive retweeted
Full house at tonight’s #TechTO @RBC ! Thank you to @lucasfolds, @NadyaKhoja, @ndolgoy, @karnsaroya, @parkdan and Toronto’s tech community for joining us! – at Toronto, Ontario
AI Deep Dive retweeted
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
AI Deep Dive retweeted
"The Dark Side of Microservices, Explained" hackernoon.com/the-dark-side… #microservices #distributedinfrastructure
AI Deep Dive retweeted
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. – at Toronto, Ontario
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
AI Deep Dive retweeted
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
AI Deep Dive retweeted
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
AI Deep Dive retweeted
"Machine Learning Platforms Vs. Machine Learning Consulting Companies" hackernoon.com/machine-learn… #machinelearning #machinelearningconsulting
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
AI Deep Dive retweeted
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 :)
AI Deep Dive retweeted
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
AI Deep Dive retweeted
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.
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/t…
AI Deep Dive retweeted
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.
JP Morgan CEO Jamie Dimon takes on socialism, says it will lead to an 'eroding society' cnb.cx/3awjjKN
