Is Machine Learning Overhyped? Computer Science

---

• Is Machine Learning Overhyped?
• E.W. Dijkstra Archive: On the cruelty of really teaching computing science (EWD 1036)
• Minor
• Do modern file systems (e.g., APFS) need to be repaired when they fail an integrity check? Or are they designed to work reliably for years even in the presence of some internal data structure errors?
• Is it required to take "applied CS courses" like networks and OS to do Machine Learning?
• Does machine learning give you a 'solution' with no understanding?
• [Mini-Rant] Self-education and the higher education system.
• Need to clear up some confusion about Depth-First Search (DFS)
• Why do processes need to be loaded into memory?
• Open Research: Reducing the size of PCSA to that of a HyperLogLog

Is Machine Learning Overhyped? Posted: 24 Aug 2018 03:06 PM PDT Based on a lot of research I've done, it seems like Machine Learning is the "next big thing". Particularly if you enjoy working for larger companies, it seems like if you can solidify yourself as a solid ML engineer, you have an incredibly bright future ahead of you. ​ I've also heard from a few outliers that ML is super overhyped and the work is incredibly boring, especially if you're not doing research. ​ Is machine learning the golden ticket everyone says it is? submitted by /u/GoldRisk [link] [comments]

E.W. Dijkstra Archive: On the cruelty of really teaching computing science (EWD 1036) Posted: 24 Aug 2018 06:51 PM PDT submitted by /u/Xiphorian [link] [comments]

Minor Posted: 25 Aug 2018 12:51 AM PDT Can I do a minor in STATS with a major in computer science submitted by /u/y51khanduja- [link] [comments]

Do modern file systems (e.g., APFS) need to be repaired when they fail an integrity check? Or are they designed to work reliably for years even in the presence of some internal data structure errors? Posted: 24 Aug 2018 05:42 AM PDT Also, are modern file systems (e.g., APFS) difficult/impossible to repair in more situations? submitted by /u/amichail [link] [comments]

Is it required to take "applied CS courses" like networks and OS to do Machine Learning? Posted: 25 Aug 2018 12:32 AM PDT I have limited choices in CS courses since I am doimg mostly Applied Mathematics and a few pure mathematics. The CS courses I am taking are Algorithms, Algorithm Analysis, AI, ML, SICP, OOP. submitted by /u/mozartsixnine [link] [comments]

Does machine learning give you a 'solution' with no understanding? Posted: 24 Aug 2018 08:57 PM PDT Full disclosure: I'm not a computer scientist but understand the general idea of training a network. My question is: does machine learning allow you to arrive at a solution in a sort of brute force and opaque manner that prevents you from learning anything deeper about the problem? It's possibly not the best example, but if you were to train a network to determine whether or not a patient had cancer based on some set of inputs, it might be able to tell you with 100% accuracy. But there is surely no way you can take those optimal weights and thresholds and learn what it is that is causing the cancer for example? It seems you have a black box capable of answering a question without giving you any further understanding of the problem in way that more 'traditional' approaches do. Is machine learning as opaque as I am suggesting or are there techniques for using machine learning to further understand a problem rather than just arrive at a black-box that spits out an answer? submitted by /u/sheikhy_jake [link] [comments]

[Mini-Rant] Self-education and the higher education system. Posted: 24 Aug 2018 10:45 PM PDT I'm a self-taught programmer. The university I am at has programming classes that go Intro -> Programming 1 -> Programming 2. Last semester, I built a project from an assignment my roommate had in Programming 2 for fun. I start Intro to Programming this semester. There's no option for me to test out of it and get placed in Programming 1 or 2. Great. I mean, at least it's C (a language I don't know) so I will learn some concepts of lower level programming (although probably not much). Each class time is 2 hours. This is gonna be a fun semester. /s submitted by /u/nmgreddit [link] [comments]

Need to clear up some confusion about Depth-First Search (DFS) Posted: 24 Aug 2018 08:06 AM PDT So I am right now learing Depth-First Search and I am bit confused. 1) Can I use Depth-First Search to find the goal or is it traverse the whole graph? (Pathfinding) 2) How do timestamps work? Lets say: A -> B -> C -> D -> E, where A is starting point and D is the goal. Are these timestamps right: A discovery time 1, B DT: 2, C DT: 3 and E DT: 4 and finish time 5. Will A, B and C also get FTs. ​ submitted by /u/skilzmatee [link] [comments]

Why do processes need to be loaded into memory? Posted: 24 Aug 2018 07:34 AM PDT Hi, I'm taking an Operating Systems course and was studying about Swapping and Virtual Memory techniques and there is a fundamental concept I'm not sure I'm completely understanding... Why do processes need to be in memory in order to have their instructions loaded into registers? Is it about how computer components are physically connected to each other or is there a limitation of some other kind? submitted by /u/nexvanshisha [link] [comments]

Open Research: Reducing the size of PCSA to that of a HyperLogLog Posted: 24 Aug 2018 04:35 AM PDT https://github.com/seiflotfy/pcsa submitted by /u/seiflotfy [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