data
We all sometimes create presentations. Often, we need to use credentials to login to systems for example PowerShell when delivering demos. — Lees op techcommunity.microsoft.com/t5/itops-talk-blog/stop-typing-powershell-credentials-in-demos-using-powershell/ba-p/2272072
Are you looking for the Best Courses on Statistics for Data Science? If yes, then check out these 10 Best Courses on Statistics for data… — Lees op www.mltut.com/best-course-on-statistics-for-data-science/
BERT is the first deeply bidirectional, unsupervised language representation model, pre-trained using only a plain text corpus. It has been widely used on various natural language processing tasks. Th… — Lees op crossminds.ai/graphlist/bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-60709500c8663c4cfa875fc4/
3447 datasets • 44250 papers with code. — Lees op paperswithcode.com/datasets
[1906.04341] What Does BERT Look At? An Analysis of BERT’s Attention — Lees op arxiv.org/abs/1906.04341
The year 2018 marked a turning point for the field of Natural Language Processing, with a series of deep-learning models achieving state-of-the-art results on NLP tasks ranging from question… — Lees op towardsdatascience.com/deconstructing-bert-distilling-6-patterns-from-100-million-parameters-b49113672f77
So you want to build a better dashboard, do you? Well good, you’ve come to the right place! Learn the do’s and don’ts of optimizing dashboard naming standards, layouts and more. — Lees op www.splunk.com/en_us/blog/tips-and-tricks/splunk-clara-fication-dashboarding-best-practices.html
Tweet Scraping using Twint and Sentiment Analysis using Hugging Face Transformers #python #NLProc In this video I explain about scraping tweets using Twint … — Lees op m.youtube.com/watch
The marketing and advertising mindset has shifted. Discover how creative business transformation is key for growth in a world faced with digital disruption. — Lees op www.thinkwithgoogle.com/intl/en-gb/future-of-marketing/management-and-culture/creativity-business-transformation/
The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. — Lees op www.wired.com/story/foundations-ai-riddled-errors/