Incredibly interesting insight into how we should be treating deep neural networks written by Andrej Karpathy, link below:
Incredibly interesting insight into how we should be treating deep neural networks written by Andrej Karpathy, link below:
For 13 weeks here at Sydney Machine Learning, 40 people formed groups and worked through the course material, including lectures, labs & most importantly the homework’s of Harvard Universities CS109 course every week at Amazon Web Services in Sydney.
Half way through the course, teams within the study group selected data science & machine learning ideas to pursue as a capstone project to help bring together everything they learnt during the course and also as a “takeaway” from the course to add to your resume.
On the 23rd of October 2017, SML held an event titled “Judgement day” where teams got to present there projects to senior judges from Atlassian, Quantium & Amazon Web Services with the chance of winning prizes!
Below are a couple of pictures from the event and videos from our newly launched Youtube channel, enjoy!
Extremely interesting article answered by Kaggle (using data 🙂 ) on “who is working with data?”, “what do data scientists do at work?” and finally “how can new data scientists break into the field?”. Article below:
October was applied machine learning month at Sydney Machine Learning with two amazing presentations from startups Pascal 51 & Pat.ai, presenting their products & ideas, the trials and tribulations of creating a machine learning startup, lessons learnt & how they are using machine learning techniques to change the world.
We were lucky enough to have presentations from Will Scully Power from Pascal51 and Beth Carey & John Ball from pat.ai hosted at HaymarketHQ
Below of photos from the event, enjoy!
Deepmind just produced a new version of AlphaGo that is able to beat the version of AlphaGo that toppled the world champions last year.
find out more about it here:
https://www.sciencenews.org/article/newest-alphago-mastered-game-no-human-input
Quora article, answered by Joshua Bengio & other luminaries :