Analytics Vidhya

JULY 26, 2023

Introduction If enthusiastic learners want to learn data science and machine learning, they should learn the boosted family. CatBoost is a machine […] The post CatBoost: A Solution for Building Model with Categorical Data appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 20, 2022

Audio classification is an Application of machine learning where different sound is categorized in certain categories. The post Music Genre Classification Project Using Machine Learning Techniques appeared first on Analytics Vidhya. Hello, and welcome to a wonderful article on audio classification.

Machine Learning 270

Machine Learning Categorization Data Science Python 270

Analytics Vidhya

APRIL 4, 2024

Introduction In the previous article, We went through the process of building a machine-learning model for sentiment analysis that was encapsulated in a Flask application. This Flask application uses sentiment analysis to categorize tweets as positive or negative.

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Machine Learning Categorization Python 249

IBM Journey to AI blog

DECEMBER 20, 2023

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).

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold.

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Categorization ETL Prompt Engineering Prompt Engineer 89

Analytics Vidhya

OCTOBER 27, 2020

Introduction In this project, we made an attempt to evaluate the education system of India and categorize states based on parameters of evaluation. The post Evaluating the Quality of Education in India using Unsupervised Machine Learning Technique appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 16, 2022

Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

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Aiiot Talk

MARCH 20, 2024

This crucial step involves cleaning and organizing your data and preparing it for your machine-learning models. Data preprocessing prepares your data before feeding it into your machine-learning models.” Think of it as prepping ingredients before cooking. The process is fundamental to the machine learning pipeline.

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Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. We have realized that less effective research has been conducted in applying data science and machine learning to better the adverse consequences of war, pushing us to design this dataset.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Overview CATBOOST is an open-source machine learning library developed by a Russian search engine giant Yandex. One of the prominent aspects of catboost is its ability to handle missing data and categorical data without encoding but will get to that later.

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Analytics Vidhya

JULY 12, 2023

One often encounters datasets with categorical variables in data analysis and machine learning. However, many machine learning algorithms require numerical input. These variables represent qualitative attributes rather than numerical values. This is where label encoding comes into play.

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Python Categorization Machine Learning Data Analysis 268

Analytics Vidhya

MARCH 26, 2024

Introduction Decision trees, a fundamental tool in machine learning, are used for both classification and regression. Their versatility in handling both numerical and categorical data has […] The post Decision Trees: Split Methods & Hyperparameter Tuning appeared first on Analytics Vidhya.

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Categorization Machine Learning Python 305

Analytics Vidhya

MAY 3, 2023

In a groundbreaking study published in Communications Biology, neuroscientists at the University of Pittsburgh have developed a machine-learning model that sheds light on how brains recognize and categorize different sounds.

ML 305

ML Categorization Machine Learning 305

Towards AI

NOVEMBER 6, 2024

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. But what if we could predict a student’s engagement level before they begin? What is CatBoost?

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ODSC - Open Data Science

MARCH 11, 2025

Predictive modeling is at the heart of modern machine learning applications. But how can machine learning practitioners improve the reliability of their models, particularly when dealing with tabular data? CatBoost : Specialized in handling categorical variables efficiently. seasons, time ofday).

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Towards AI

SEPTEMBER 2, 2024

This is exactly what happens when you try to feed categorical data into a machine-learning model. Image generated by Dall-E In this hands-on tutorial, we’ll unravel the mystery of encoding categorical data so your models can process it with ease. Machine learning models can easily understand numbers — no surprise there!

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Categorization Machine Learning Python AI 105

Unite.AI

DECEMBER 7, 2024

IMAI (InfluencerMarketing.ai) IMAI's machine learning algorithms process data from over 300 million creator profiles across major social platforms. The platform combines search capabilities with automated workflow systems, creating an integrated environment for discovering, evaluating, and managing influencer partnerships at scale.

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Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Alongside topological structure, nodes often possess textual features providing context.

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Towards AI

SEPTEMBER 25, 2024

As data scientists and machine learning engineers, we spend the majority of our time working with data. In machine learning, the path from raw data to a well-tuned model is paved with preprocessing techniques that set the way for success. It is important that we master it! The header image was created by the author.

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Marktechpost

JULY 18, 2024

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures.

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Analytics Vidhya

MARCH 4, 2023

The development of music streaming services has increased the demand for automatic music categorization and recommendation systems. Introduction The music industry has become more popular, and how people listen to music is changing like wildfire.

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Analytics Vidhya

JULY 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Naive Bayes Classifier Overview Assume you wish to categorize user reviews. The post Performing Sentiment Analysis With Naive Bayes Classifier! appeared first on Analytics Vidhya.

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Categorization Data Science Python Machine Learning 367

IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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AWS Machine Learning Blog

MARCH 13, 2025

In this collaboration, the Generative AI Innovation Center team created an accurate and cost-efficient generative AIbased solution using batch inference in Amazon Bedrock , helping GoDaddy improve their existing product categorization system. Moreover, employing an LLM for individual product categorization proved to be a costly endeavor.

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Marktechpost

NOVEMBER 27, 2024

In today’s world, you’ve probably heard the term “Machine Learning” more than once. Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming. housing prices, stock prices).

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AssemblyAI

DECEMBER 19, 2024

Voice intelligence combines speech recognition, natural language processing, and machine learning to turn voice data into actionable insights. Voice intelligence is the use of AI and machine learning to analyze and derive insights from spoken conversations.   What is voice intelligence?

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Analytics Vidhya

NOVEMBER 29, 2021

Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. This article was published as a part of the Data Science Blogathon. Or As a loan manager, do you want to know which loan applications are safe to lend to and which ones […].

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Python Categorization Data Science Machine Learning 342

Unite.AI

AUGUST 11, 2024

Users can set up custom streams to monitor keywords, hashtags, and mentions in real-time, while the platform's AI-powered sentiment analysis automatically categorizes mentions as positive, negative, or neutral, providing a clear gauge of public perception.

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Marktechpost

SEPTEMBER 27, 2024

Researchers at Microsoft Research Asia introduced a novel method that categorizes user queries into four distinct levels based on the complexity and type of external data required. The categorization helps tailor the model’s approach to retrieving and processing data, ensuring it selects the most relevant information for a given task.

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Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To minimize the possibility of mistakes, the user must repeat and check each step of the machine-learning workflow.

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Towards AI

SEPTEMBER 8, 2024

Source: Image by the Author That’s exactly what converting numerical data into categorical data can do for you! First, let’s understand why you’d want to turn your perfectly good numerical data into categorical values. It’s like watching a blurry image come into focus. Sounds better, right? Let’s get started, shall we?

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Unite.AI

JUNE 2, 2023

Based on this, it makes an educated guess about the importance of incoming emails, and categorizes them into specific folders. In addition to the smart categorization of emails, SaneBox also comes with a feature named SaneBlackHole, designed to banish unwanted emails.

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Towards AI

FEBRUARY 3, 2024

Photo by Markus Winkler on Unsplash Let’s get started: Machine Learning has become the most demanding and powerful tool in different domains of several industries in this digital era to solve many complex problems by revolutionizing the way of approaching those problems.

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Marktechpost

APRIL 10, 2024

Equitable Representation of Minority Classes: AnchorAL produces datasets with greater balance, which is necessary for precise categorization. Model Performance: AnchorAL improves classification accuracy by training models that are more performant than those trained by rival techniques. If you like our work, you will love our newsletter.

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Machine Learning Natural Language Processing Categorization NLP 133

AI News

MARCH 12, 2025

DSPs typically include tools that automatically discover and categorize data based on its sensitivity and use. By identifying data types and categorizing them by sensitivity level, organisations can prioritise their security efforts. The components include: 1. Financial data: Credit card details, transaction records.

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Marktechpost

JULY 19, 2024

Survey on Machine Learning-Powered Augmented Reality in Education: ML advances augmented reality (AR) across various educational fields, enhancing object visualizations and interaction capabilities. It explores ML models like support vector machines, CNNs, and ANNs in AR education. Join our Telegram Channel and LinkedIn Gr oup.

Machine Learning 106

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AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details.

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