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Machine Learning Algorithms

Analytics Vidhya

Types of Machine Learning Algorithms 3. K Means Clustering Introduction We all know how Artificial Intelligence is leading nowadays. Machine Learning […]. The post Machine Learning Algorithms appeared first on Analytics Vidhya. Table of Contents 1. Introduction 2. Logistic Regression 6.

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Self Supervised Learning Models to Predict Early COVID-19 Deterioration by Facebook AI

Analytics Vidhya

ArticleVideos Overview Facebook AI and NYU Health Predictive Unit have developed machine learning models that can help doctors predict how a patient’s condition may. The post Self Supervised Learning Models to Predict Early COVID-19 Deterioration by Facebook AI appeared first on Analytics Vidhya.

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Supervised learning

Dataconomy

Supervised learning is a powerful approach within the expansive field of machine learning that relies on labeled data to teach algorithms how to make predictions. What is supervised learning? Supervised learning refers to a subset of machine learning techniques where algorithms learn from labeled datasets.

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Human-in-the-loop machine learning

Dataconomy

Human-in-the-loop (HITL) machine learning is a transformative approach reshaping how machine learning models learn and improve. What is human-in-the-loop machine learning? Such flaws can lead to significant consequences in critical fields like healthcare or finance.

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Self-Supervised Learning: The Next Frontier in Machine Learning

Towards AI

Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? One day, its all about supervised learning and the next, people are throwing around terms like self-supervised learning as if its the holy grail of AI. So, what exactly is self-supervised learning?

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Counting shots, making strides: Zero, one and few-shot learning unleashed 

Data Science Dojo

In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. These approaches enable machines to recognize the unfamiliar, learn from a single example, and thrive with minimal data.

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The history of Machine Learning – dates back to the 17th century

Dataconomy

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies.