Participating in the r/datascience subreddit can be enriching for data science enthusiasts of all levels. It provides a platform to learn, connect, and engage with a global community that shares a passion for data science and its myriad applications. ...
Tailor your résumé and portfolio to highlight data science skills. Apply for internships, entry-level jobs, or freelance projects. Engage with the data science community on LinkedIn, GitHub, or Reddit. 6. Ongoing: Stay current and get certified Consider certifications like the DataCamp Data Sc...
This is the fifth in a series of excerpts fromElements of Data Science, nowavailable from Lulu.comand online booksellers. It’s based on Chapter 16, which is part of the political alignment case study. You can read the complete examplehere, or run the Jupyter notebook onColab. Because this...
grow a mind: http://web.mit.edu/cocosci/Papers/tkgg-science11-reprint.pdf trendingarxiv: http://trendingarxiv.smerity.com/ https://github.com/andrewt3000/DL4NLP Natural languague inference NLI: https://github.com/Smerity/keras_snli ACL: http://www.aclweb.org/anthology/P/P16/ Data ty...
LLMs train on large corpora of internet text – typically sources like Wikipedia, Reddit, patent applications and so forth. They learn to predict what kinds of text are likely to come next, given a specific input text. The results, as anybody who has sat down with ChatGPT for long knows...
Tul, Q., et al.: Sentiment analysis using deep learning techniques: a review. Int. J. Adv. Comput. Sci. Appl.Comput. Sci. Appl. (2017). MATHGoogle Scholar Zhang, L., Wang, S., Liu, B.: Deep learning for sentiment analysis: a survey. WIREs Data Min. Knowl. Discov. (2018). ...
2017.06.07 • Millions of scientists, Trump’s pre-presidency flights, severe workplace injuries, annotated Reddit conversations, and e. coli at Ocean Beach. 2017.05.31 • Government payrolls, federal lobbyists, state gun laws, per-sector financials, and NYC doggies. 2017.05.24 • America’...
我们将使用来自 sklearn 的【T20 个新闻组数据集(许可证:公共域/来源:http://qwone.com/~jason/20Newsgroups/)在这个例子中有 4 个类别: alt .无神论、 talk.religion.misc、 comp.graphics 和sci.space. 我们用来自变形金刚的bertokenizer对数据进行标记化 categories = ['alt.atheism', 'talk.religion.mis...
Link to data: https://github.com/HKUST-KnowComp/MLMA_hate_speech Task description: Detailed taxonomy with cross-cutting attributes: Hostility, Directness, Target attribute and Target group. Details of task: Gender, Sexual orientation, Religion, Disability Size of dataset: 5,647 Percentage abusive:...
TowardsDataScience 博客中文翻译 2016~2018(二十八) 原文:TowardsDataScience Blog 协议:CC BY-NC-SA 4.0 拿破仑是有史以来最好的将军,数学证明了这一点。 原文:https://towardsdatascience.com/napol