Social interaction in Computer Science Major? Computer Science |
- Social interaction in Computer Science Major?
- Nand game weird binary subtraction algorithm question
- Evolution of search methods and the latest method - Neural Search. What is it and how to get started with it
- Which book got you into computer science?
Social interaction in Computer Science Major? Posted: 14 May 2021 03:20 AM PDT Hello, I'm a fresh high school grad thinking of going into a Computer Science degree(specifically a Software Engineering degree). You hear a lot from the media and such that "programmers are quiet nerds who sit on front of a computer all day" or "Introverts should go into Computer Science" and whatnot, but obviously that's not (entirely) true. I know you need good communication skills to work on projects and to understand what your clients want from you as a Software Dev, but as I'm only a high school grad atm I don't know specifically what other aspects of this career path requires good social and communication skills. I'm honestly not the best socially so I'd like to prepare myself for university, and I'd appreciate some advice from more experienced people from this sub to know what to expect! [link] [comments] |
Nand game weird binary subtraction algorithm question Posted: 14 May 2021 04:47 AM PDT |
Posted: 14 May 2021 04:03 AM PDT
What is Neural Search?There is a massive amount of data on the web; how can we effectively search through it for relevant information? And it's not just the web where we need it: Our computers store terabytes of company and personal data that we need to work with; we need effective search to get our day-to-day job done. And what do I mean by effective search
We can answer all those questions with one word: Yes. To understand how, we need to enter the world of Natural Language Processing. NLP is a field of computer science that deals with analyzing natural language data, like the conversations people have every day. NLP is the foundation of intelligent search, and we have seen three different approaches in this field as follows. Evolution of search methods
Note that the applications of Neural Search are not just limited to text. It goes well beyond what NLP covers. With neural search, we get additional capabilities to search images, audio, video, etc. Let's look at a comparison of the extreme ends of search methods — "Rules" vs "Neural Networks": Rules (Symbolic Search) vs Neural Networks (Neural Search)Comparison of Symbolic Search vs Neural Search While the Neural Search method has become more widespread since 2015, and should be the primary focus area of any new search system, we shouldn't completely rule out Symbolic (rule-based) Search methods. In fact, using a combination of Neural Search and Symbolic Search may result in optimized results. Let's look at some of the powerful applications of Neural Search Applications Of Neural SearchSemantic search🔍 addidsa trosers (misspelled brand and category, still returns relevant results similar to query "adidas trousers") Search between data typesWith Neural Search, you can use one kind of data to search another kind of data, for example using text to search for images, or audio to search for video. Search with multiple data typesWith Neural Search, you can build queries with multiple query data types e.g. search images with text+image Get started with Neural SearchFor rule-based searches, Apache Solr, Elasticsearch, and Lucene are the de-facto solutions. On the other hand, Neural Search is relatively new on the scene, there aren't so many off-the-shelf packages. Not to mention, training the neural network for such a system requires quite a bit of data. These challenges can be solved using Jina, an open-source neural search framework. To get started with building your own Neural Search system using Jina: References
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Which book got you into computer science? Posted: 04 May 2021 10:30 PM PDT If you were asked to choose ONE book that got you interested in computer science, what would it be? The book that changed your idea about what computer science really is beyond just programming. It may be a non-fiction book or a text book. What was your experience level when you read that book? [link] [comments] |
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