Remove Algorithm Remove K-nearest Neighbors Remove Natural Language Processing Remove Support Vector Machines
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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

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Five machine learning types to know

IBM Journey to AI blog

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning? Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences.

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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.

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Everything you should know about AI models

Dataconomy

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Support Vector Machines In order to classify data more precisely, support vector machine methods create a partition (a hyperplane).

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Everything you should know about AI models

Dataconomy

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Support Vector Machines In order to classify data more precisely, support vector machine methods create a partition (a hyperplane).

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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

Introduction In natural language processing, text categorization tasks are common (NLP). Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. For many classification applications, random forest is now one of the best-performing algorithms.

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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.