CompSci Weekend SuperThread (August 07, 2020) Computer Science |
- CompSci Weekend SuperThread (August 07, 2020)
- Meet Silq- The First Intuitive High-Level Language for Quantum Computers
- ICYMI: State of the art in image-to-image translation!
- [N] ArXiv’s 1.7M+ Research Papers Now Available on Kaggle
- The Complete Guide on How to Learn Python For Beginners
- What kind of OS/embedded specific interview questions did you get asked for a systems position?
- [R] DeepMind & Google Explore Hyperparameter Selection for Offline RL
- Best Machine Learning Courses Online
CompSci Weekend SuperThread (August 07, 2020) Posted: 06 Aug 2020 06:04 PM PDT /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic. This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread. Pointers
Caveats
[link] [comments] |
Meet Silq- The First Intuitive High-Level Language for Quantum Computers Posted: 07 Aug 2020 05:11 AM PDT |
ICYMI: State of the art in image-to-image translation! Posted: 06 Aug 2020 08:48 PM PDT |
[N] ArXiv’s 1.7M+ Research Papers Now Available on Kaggle Posted: 06 Aug 2020 01:11 PM PDT To help make world's largest free scientific paper repository even more accessible, arXiv announced yesterday that all of its research papers are now available on Kaggle. Here is a quick read: ArXiv's 1.7M+ Research Papers Now Available on Kaggle [link] [comments] |
The Complete Guide on How to Learn Python For Beginners Posted: 07 Aug 2020 12:11 AM PDT |
What kind of OS/embedded specific interview questions did you get asked for a systems position? Posted: 06 Aug 2020 06:27 PM PDT To those who have had interviews for systems level positions, what kind of OS/embedded specific questions were asked? Most of the ones I've seen online are theory based: defining semaphores, mutex and other simple stuff but I've heard it's pretty common to get asked to fix a racing issue. Any examples would be appreciated. [link] [comments] |
[R] DeepMind & Google Explore Hyperparameter Selection for Offline RL Posted: 06 Aug 2020 08:45 AM PDT Researchers from DeepMind and Google recently conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches. The researchers' workflow for applying offline hyperparameter selection can be summarized as follows:
Here is a quick read: DeepMind & Google Explore Hyperparameter Selection for Offline RL The paper Hyperparameter Selection for Offline Reinforcement Learning is on arXiv. [link] [comments] |
Best Machine Learning Courses Online Posted: 06 Aug 2020 06:20 AM PDT |
You are subscribed to email updates from Computer Science: Theory and Application. To stop receiving these emails, you may unsubscribe now. | Email delivery powered by Google |
Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States |
No comments:
Post a Comment