Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya. The key […].

Supervised Learning 338

Supervised Learning Data Science Analytics Analytics 338

Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

Supervised Learning 306

Supervised Learning Data Science Analytics Analytics 306

Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This capability makes it well-suited for scenarios where labeled data is scarce or unavailable.

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K-nearest Neighbors Supervised Learning AI AI 338

Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

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Data Science Machine Learning Machine Learning Python 52

ODSC - Open Data Science

MARCH 22, 2023

A recent report by Cloudfactory found that human annotators have an error rate between 7–80% when labeling data (depending on task difficulty and how much annotators are paid). Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies.

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ML ML Data Scientist AI 88

Explosion

MAY 17, 2023

Once you’re past prototyping and want to deliver the best system you can, supervised learning will often give you better efficiency, accuracy and reliability than in-context learning for non-generative tasks — tasks where there is a specific right answer that you want the model to find. That’s not a path to improvement.

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AWS Machine Learning Blog

AUGUST 7, 2023

AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community. Han Man is a Senior Data Science & Machine Learning Manager with AWS Professional Services based in San Diego, CA.

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