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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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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

Text mining is also known as text analytics or Natural Language Processing (NLP). It is the process of deriving valuable patterns, trends, and insights from unstructured textual data. It includes text documents, social media posts, customer reviews, emails, and more. Consequently, it boosts decision-making.

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10 Machine Learning Algorithms You Need to Know in 2024

Pickl AI

Support Vector Machines (SVM) Support Vector Machines are powerful supervised learning algorithms used for classification and regression tasks. Text Classification: Categorising documents into predefined classes. Natural Language Processing: Understanding and generating human language.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data. NLP tasks include machine translation, speech recognition, and sentiment analysis.

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Named Entity Recognition With SpaCy

Heartbeat

Named entity recognition (NER) is a subtask of natural language processing (NLP) that involves automatically identifying and classifying named entities mentioned in a text. Pre-processing: The text is first pre-processed by removing any unnecessary information, such as stop words, and tokenizing the text into individual words.

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Perceptron: A Comprehensive Overview

Pickl AI

Natural Language Processing (NLP) In NLP, you can employ Perceptrons for tasks like sentiment analysis and text classification. They help in determining the sentiment of a given text or categorising documents into predefined categories.