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Machine Learning vs. Deep Learning - A Comparison

Heartbeat

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning.

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AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. But amidst all the hype, it’s worth asking ourselves: do we really understand the basics of artificial intelligence? What is artificial intelligence?

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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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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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The Marvels of Generative AI: Key Concepts and Use Cases

Data Science Dojo

This isn’t the plot of a sci-fi novel but the reality of generative artificial intelligence (AI). Generative AI refers to a branch of artificial intelligence that focuses on creating new content—be it text, images, audio, or synthetic data. Training: The overall process where a model learns from data.

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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. This approach involves techniques where the machine learns from massive amounts of data.

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Five machine learning types to know

IBM Journey to AI blog

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).