CompSci Weekend SuperThread (June 26, 2020) Computer Science |
- CompSci Weekend SuperThread (June 26, 2020)
- CS people, how much do you actually know about computers?
- What are the best books to learn Computer Fundamentals?
- Self-supervised Learning for Medical Image Analysis Using Image Context Restoration
- Simple & effective G1 GC tuning tips
- Apples Interview Process Help
- 50 Machine Learning Companies Revolutionizing Industries
- How do I count stack frames?
- Latest from Adobe and KAIST researchers: A novel video panoptic segmentation network - VPSNet.
- The flaws of Object Oriented Programming
- [R] Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks
- We have to teach computer science students about maintaining algorithmic neutrality
- Anybody to help explain this?
CompSci Weekend SuperThread (June 26, 2020) Posted: 25 Jun 2020 06:05 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] |
CS people, how much do you actually know about computers? Posted: 25 Jun 2020 06:36 PM PDT Aside from knowing how to use the programs that you use on a regular basis, how much do you actually know about your computers? Do you consider yourselves knowledgeable of the internal workings of your machines? [link] [comments] |
What are the best books to learn Computer Fundamentals? Posted: 26 Jun 2020 02:48 AM PDT What are the good books you'd recommend to learn to hardware/software components of computer ? Basically all the functions of computer components and how it works or the logic behind it. In short, everything about computer. Recommended ones for compSci majors are fine too. Even better if it involves Robotics & CompSci contents because i am interested in that matter too. [link] [comments] |
Self-supervised Learning for Medical Image Analysis Using Image Context Restoration Posted: 26 Jun 2020 05:17 AM PDT |
Simple & effective G1 GC tuning tips Posted: 25 Jun 2020 11:47 PM PDT |
Posted: 26 Jun 2020 03:08 AM PDT I recently applied to Apple with a referral and have never gone through their process. I dont know what to expect or the level of difficulty in the coding questions. I have been working through Apples leetcode questions. Would love to know if those are helpful at all or what i can do extra to be extra ready! Thank you!! [link] [comments] |
50 Machine Learning Companies Revolutionizing Industries Posted: 25 Jun 2020 11:21 PM PDT |
Posted: 25 Jun 2020 05:18 PM PDT I'm having to count stack frames in pseudo-code, and it's REALLY confusing. The pseudo code is similar to java, which I'm pretty familiar with, but I'm still confused... I can link the code if needed [link] [comments] |
Latest from Adobe and KAIST researchers: A novel video panoptic segmentation network - VPSNet. Posted: 25 Jun 2020 08:48 PM PDT |
The flaws of Object Oriented Programming Posted: 25 Jun 2020 08:37 PM PDT |
[R] Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks Posted: 25 Jun 2020 11:25 AM PDT DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks The paper Dm_control: Software and Tasks for Continuous Control is on arXiv. [link] [comments] |
We have to teach computer science students about maintaining algorithmic neutrality Posted: 25 Jun 2020 07:25 PM PDT |
Posted: 25 Jun 2020 01:35 PM PDT In the construction of a digital computer, which integrated circuits would you recommend for a very fast computer and why? [link] [comments] |
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