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From Supervised Learning to Contextual Bandits: The Evolution of AI Decision-Making

Towards AI

Supervised Learning: Train once, deploy static model; Contextual Bandits: Deploy once, allow the agent to adapt actions based on content and its corresponding reward. Supervised learning is a staple in machine learning for well-defined problems, but it struggles to adapt to dynamic environments: enter contextual bandits.

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'Quantum AI' algorithms already outpace the fastest supercomputers, study says

Flipboard

Image credit: BlackJack3D via Getty Images) Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The scientists used a method that relies on a quantum photonic circuit and a bespoke machine learning algorithm.

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Research: A periodic table for machine learning

Dataconomy

Just like chemical elements fall into predictable groups, the researchers claim that machine learning algorithms also form a pattern. A state-of-the-art image classification algorithm requiring zero human labels. This ballroom analogy extends to all of machine learning. It predicts new ones. One such prediction?

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Machine Learning Algorithms Explained with Real-World Use Cases

How to Learn Machine Learning

In today’s data-driven world, machine learning fuels creativity across industries-from healthcare and finance to e-commerce and entertainment. For many fulfilling roles in data science and analytics, understanding the core machine learning algorithms can be a bit daunting with no examples to rely on.

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Image recognition

Dataconomy

Despite these limitations, advancements in algorithms have propelled the capability of machines to recognize patterns and objects more accurately. The techniques utilized in this field primarily involve machine learning (ML) and deep learning. Once data is collected, training neural networks becomes the next step.

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Exploring All Types of Machine Learning Algorithms

Pickl AI

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

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Self-Supervised Learning: The Engine Behind General AI

Towards AI

Typical SSL Architectures Introduction: The Rise of Self-Supervised Learning In recent years, Self-Supervised Learning (SSL) has emerged as a pivotal paradigm in machine learning, enabling models to learn from unlabeled data by generating their own supervisory signals.