Data Science at Nedbank π€ Recent Cambridge grad π¬π§ Proudly South African πΏπ¦ Interested in Unsupervised Deep Learning ππ» Opinions my own.
Applications are now open for the Deep Learning Indabaπ South Africa 2022! Check out our website for more info on applications, paid registrations, and for the first time ever, abstract submissions. Don't miss out! πΏπ¦ π¦Ύπ
#IndabaX#DeepIndaba#AI
https://t.co/g3kBwuqBn3
One of my very favourite King Fred the Fearlesses, Leah! This drawing could have been done by a professional artist! I love all the detail on the costume and Fred looking rather brave, as fits his name! πππππ #TheIckabog
You cannot get educated by this self-propagating system in which people study to pass exams, and teach others to pass exams, but nobody knows anything.
You learn something by doing it yourself, by asking questions, by thinking, and by experimenting. π§
I started a blog! The first post explains AlphaZero, but also touches on human cognition, why Python is bad for ML, game theory and model-based reinforcement learning. Hope you enjoy! https://t.co/T4RdWcMlRw
The IndabaX-AI4D Innovation grant are open for your proposals, to receive funding up to USD 8,000 for small research projects with a development focus. Deadline, 6 July and we have template and guide to helpπ. Details here: https://t.co/jg9QePSSVv #IndabaGrandChallenge#IndabaX
I found this really nice chart providing a taxonomy of real faults when designing deep learning systems.
paper: https://t.co/oJf7Gv5ARO
by Humbatova et al.
Where do you usually make mistakes?
Hey Community! π€
Join us for an online talk by Dr. Vukosi Marivate (@vukosi)
on 9 April 2020, @ 12:30 (+2 GMT/ SAST)
The talk will be broadcasted on our YouTube channel π»: https://t.co/c39AO0vDxT
Access the dashboard ππ:
https://t.co/mWkkHzMlN1
#DLXSA2020#Covid19SA
Looks like a great initiative, they are inviting researchers to donate time towards covid-19 problems put forward by other researchers in that space https://t.co/6ZvE1AtMbj