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Predicting Race from Twitter: Unveiling Insights with pyCaret and Machine Learning

Mlearning.ai

One such intriguing aspect is the potential to predict a user’s race based on their tweets, a task that merges the realms of Natural Language Processing (NLP), machine learning, and sociolinguistics. BECOME a WRITER at MLearning.ai // invisible ML // Detect AI img Mlearning.ai

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Healthcare revolution: Vector databases for patient similarity search and precision diagnosis

Data Science Dojo

Impqct of AI on healthcare The healthcare landscape is brimming with data such as demographics, medical records, lab results, imaging scans, – the list goes on. The search involves a combination of various algorithms, like approximate nearest neighbor optimization, which uses hashing, quantization, and graph-based detection.

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Everything you should know about AI models

Dataconomy

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

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Everything you should know about AI models

Dataconomy

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

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Five machine learning types to know

IBM Journey to AI blog

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Here, we’ll discuss the five major types and their applications. What is machine learning?

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A Guide to Unsupervised Machine Learning Models | Types | Applications

Pickl AI

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. The following blog will focus on Unsupervised Machine Learning Models focusing on the algorithms and types with examples. What is Unsupervised Machine Learning?

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Bias and Variance in Machine Learning

Pickl AI

Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on. K-Nearest Neighbors with Small k I n the k-nearest neighbours algorithm, choosing a small value of k can lead to high variance. to enhance your skills.