Топ-10 конкурентов stat.ncsu.edu

shinyapps.io

shinyapps.io

kaggle.com

Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.

scikit-learn.org

This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the raw specifications of classes and functions may not be enough to give full ...

figshare.com

The animated diagram of titled Resonance with Emergence of Transformation recontextualizes Hartmut Rosa's theory by presenting the four elements—affection, emotion, transformation (here, "formation"), and unpredictability—in a dynamic interplay that highlights the formation of identity. In this diagram, "formation" replaces "transformation" to emphasize how our sense of self and individual character traits are continually shaped through daily interactions with the world, people, and material objects. This diagram aims to underscore that genuine resonance, as Rosa describes, involves deep and lasting connections that fundamentally transform the individual. The diagram illustrates how these resonant experiences, regardless of their duration, leave enduring imprints on the self, fostering true and lasting transformation (illustrated here with an emerging light green sphere that expands). This series of repeated resonant interactions builds upon the individual’s identity, showing that each occurrence of resonance contributes to the ongoing formation and reformation of the self, culminating in a profound and genuine transformation that Rosa describes. This visual representation aims to capture Rosa’s notion of genuine resonance, that is not just a fleeting moment but a continuous process with lasting impacts on personal growth and identity.

r-bloggers.com

sentiment.aiMore powerful sentiment analysis using deep learning models made simple..See github.io page herehttps://benwiseman.github.io/sentiment.ai/OverviewKorn Ferry Institute's AITMI team made sentiment.ai for researchers and tinkerers who want a straight-forward way to use powerful, open source deep learning models to improve their sentiment analyses. Our approach is relatively simple and out performs the current best offerings on CRAN and even Microsoft's Azure Cognitive Services. Given that we felt the current norm for sentiment analysis isn't quite good enough, we decided to open-source our simplified interface to turn Universal Sentence Encoder embedding vectors into sentiment scores.We've wrapped a lot of the underlying hassle up to make the process as simple as possible. In addition to just being cool, this approach solves several problems with traditional sentiment analysis, namely:More robust, can handle spelling mitsakes and mixed case, and can be applied to dieciséis (16) languages!Doesn't need a ridged lexicon, rather it matches to an embedding vector (reduces language to a vector of numbers that capture the information, kind of like a PCA). This means you can get scores for words that are not in the lexicon but are similar to existing words!Choose the context for what negative and positive mean using the sentiment_match() function. For example, you could set positive to mean "high quality" and negative to mean "low quality" when looking at product reviews.Power Because it draws from language embedding models trained on billions of texts, news articles, and wikipedia entries, it is able to detect things such as "I learned so much on my trip to Hiroshima museum last year!" is associated with something positive and that "What happeded to the people of Hiroshima in 1945" is associated with something negative.The power is yours We've designed sentiment.ai such that the community can contribute sentiment models via github. This way, it's easier for the co

learn.microsoft.com

Find out which languages are supported for developing function apps in Azure, the support level of the various language versions, and end-of-support dates.

sciencedirect.com

sciencedirect is the world's leading source for scientific, technical, and medical research. explore journals, books and articles.

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.