A Survey of Generalisation in Deep Reinforcement Learning
Quite a comprehensive survey of the topic! Should be a good reference for those working in this area. Written by @_robertkirk@yayitsamyzhang@egrefen@_rockt.
https://t.co/bDIEmy0plH
Turkey: Its not only #BigData ... its about Economic and Business Intelligence ... Checking the position in the industry space of 1000 cities in the world thanks to @ricardo_hausman https://t.co/Y7QAo0W7pn @ali_hakan_kara@SelvaDemiralp
Kobra a visual programming language for machine learning.
Kobra is designed to help you learn machine learning without needing to learn how to code first.
https://t.co/0jg35aby3c
The Matérn kernel interpolates between Laplacian and Gaussian. The most popular kernels in ML, allows to represents functions with a given smoothness nu (number of derivative) for regression and classification using RKHS. https://t.co/4yXuTohM9e
Lord give me the confidence of a machine learning engineer who just imported NumPy and Pandas and already added “experience in ML and data science” to their LinkedIn.
Introducing the beta version of 𝙵𝚎𝚍𝙽𝙻𝙿, an open-source research platform for federated learning in NLP. Thanks to the awesome @huggingface and FedML, we integrate Transformer models and many popular FL methods (FedAvg, FedOpt, etc.). 🥳 Code: https://t.co/sZUQpAxtHL [1/4]