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SaaS Security Requires Self-Supervised Learning with Context

insideBIGDATA

co-founder and chief scientist at Reco, discusses the need for self-supervised learning to combat the growing attack surface that SaaS-based applications have opened up for organizations. In this contributed article, Tal Shapira, Ph.D.,

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Leveraging Generative Models to Boost Semi-Supervised Learning

Analytics Vidhya

Enter the realm of semi-supervised learning—an ingenious approach that harmonizes a small batch of labeled data with a trove of unlabeled data.

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Understanding Supervised Learning: Theory and Overview

KDnuggets

This article covers a high-level overview of popular supervised learning algorithms and is curated specially for beginners.

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ALBERT Model for Self-Supervised Learning

Analytics Vidhya

Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya. The key […].

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Primary Supervised Learning Algorithms Used in Machine Learning

KDnuggets

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

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Automated Machine Learning for Supervised Learning (Part 1)

Analytics Vidhya

The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon This.

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Logistic Regression- Supervised Learning Algorithm for Classification

Analytics Vidhya

The post Logistic Regression- Supervised Learning Algorithm for Classification appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article will talk about Logistic Regression, a method for.