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    Git and GitHub for beginners - a brief summary Computer Science

    July 21, 2020

    Git and GitHub for beginners - a brief summary Computer Science

    Git and GitHub for beginners - a brief summary

    Posted: 20 Jul 2020 02:24 PM PDT

    Research topic - Undergraduate

    Posted: 21 Jul 2020 03:31 AM PDT

    Good morning!

    I have the opportunity to carry out research at my university, along my BSc studies in Computer Science.

    This 2 years long research programme entails 1 year of interdisciplary research.

    We, the students, have to propose some ideas and then research groups will be formed.

    Majors in the programme: • Computer Science; • Mathematics; • Physics&Astronomy; • Biology; • Chemistry; • Molecular Life Sciences;

    While I have a ton of ideas(mostly involving mathematics and computer science, some physics as well), I would love to hear your suggestions.

    Some of the projects in the past years have led to published papers;

    To give a bit more context: • The groups are composed by 2nd years BSc students; • I am very interested in machine learning, computational models and mathematical finance.

    Thank you for your time.

    submitted by /u/ingolfurin
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    Best Tips On How To Do Robot Programming With Python For Beginners

    Posted: 21 Jul 2020 02:32 AM PDT

    PCA: Friendly Introduction to Main Linear Technique for Dimensionality Reduction

    Posted: 20 Jul 2020 07:33 AM PDT

    How To Choose best programming language to learn

    Posted: 21 Jul 2020 04:24 AM PDT

    ACM Digital Library backup

    Posted: 20 Jul 2020 09:30 PM PDT

    Why GPT-3 Matters

    Posted: 20 Jul 2020 04:28 PM PDT

    Red Black Trees

    Posted: 20 Jul 2020 01:30 PM PDT

    The usual descriptions of red black trees are a little bit frightening because of the complexity especially the complexity of deletion.

    Therefore I have analyzed the situation and tried to find an algorithm which does the job and is as simple and understandable as possible. And yes, complexity can be reduced. This does not make red black trees trivial, but at least understandable and verifiable.

    The last point is very important for me, because I want to be sure that there are no forgotten corner cases.

    The description is available at my programming website.

    A tested reference implementation in Ocaml is available as well.

    I hope some of you might enjoy reading.

    submitted by /u/hbrandl
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    Top 5 JavaScript Frameworks

    Posted: 20 Jul 2020 11:28 PM PDT

    Python Syntax Guide

    Posted: 20 Jul 2020 10:09 PM PDT

    Web developer vs Web Designer

    Posted: 20 Jul 2020 11:06 PM PDT

    [R] Google Bridges Domain Gaps in Semantic Segmentation of LiDAR Point Clouds

    Posted: 20 Jul 2020 01:41 PM PDT

    The scarcity of labelled 3D point clouds has hindered the further performance improvements of deep neural networks on semantic segmentation tasks. Although several autonomous driving companies have released a few datasets, the different configurations of LiDAR sensors and other domain discrepancies inevitably lead to the problem where deep networks trained on one dataset do not perform well on others. To bridge the domain gap caused by differences in 3D point cloud sampling in LiDAR sensors, a team of Google researchers recently proposed a novel "complete and label" domain adaptation approach.

    Here is a quick read: Google Bridges Domain Gaps in Semantic Segmentation of LiDAR Point Clouds

    The paper Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds is on arXiv.

    submitted by /u/Yuqing7
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    Beginner's introduction to Cutting Stock Problem — 1D

    Posted: 20 Jul 2020 03:40 PM PDT

    [R] Grounded Language Learning: A Look at the Paper ‘Understanding Early Word Learning in Situated Artificial Agents’

    Posted: 20 Jul 2020 08:52 AM PDT

    Nowadays, neural network-based systems can learn and process different languages in order to perform associated actions. To achieve this, a neural network has to achieve so-called grounded language learning, where the models must overcome certain challenges. These challenges share many similarities with those faced by infants when learning their first words.

    Infants learn the forms of words by listening to the speech they hear. Though little is known about the degree to which these forms are meaningful for infants, the words still play a role in early language development. Similarly, it is notable that while models with no meaningful prior knowledge can also overcome these obstacles, researchers currently lack a clear understanding of how they do so. The 2017 paper Understanding Early Word Learning in Situated Artificial Agents from DeepMind researchers Felix Hill, Stephen Clark, Karl Moritz Hermann and Phil Blunsom addresses this problem.

    Let's take a deep look at this research: Grounded Language Learning: A Look at the Paper 'Understanding Early Word Learning in Situated Artificial Agents'

    The paper Understanding Early Word Learning in Situated Artificial Agents is on arXiv.

    submitted by /u/Yuqing7
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    Best useful Tips On How To Write Better Java Code

    Posted: 20 Jul 2020 05:37 AM PDT

    Best useful Tips On How To Write Better Java Code

    Posted: 20 Jul 2020 05:21 AM PDT
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