Remove Cross Validation Remove Natural Language Processing Remove Support Vector Machines
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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). Foundations of Statistical Natural Language Processing [M]. Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm. Uysal and Gunal, 2014). Manning C. and Schutze H.,

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An Essential Introduction to SVM Algorithm in Machine Learning

Pickl AI

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Among the many algorithms, the SVM algorithm in Machine Learning stands out for its accuracy and effectiveness in classification tasks. What is the SVM Algorithm in Machine Learning?

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition. Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language.

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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. Unstable Support Vector Machines (SVM) Support Vector Machines can be prone to high variance if the kernel used is too complex or if the cost parameter is not properly tuned.

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Understanding and Building Machine Learning Models

Pickl AI

Natural language processing ( NLP ) allows machines to understand, interpret, and generate human language, which powers applications like chatbots and voice assistants. These real-world applications demonstrate how Machine Learning is transforming technology. For instance: For a classification problem (e.g.,

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The Age of Health Informatics: Part 1

Heartbeat

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset. NLP enables machines to understand and interpret text and speech.