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 […].

Categorization 394

Categorization Algorithm Machine Learning Data Science 394

Unite.AI

DECEMBER 7, 2024

Brandwatch builds upon proprietary algorithms integrated with advanced language models, creating a system that processes social media conversations with depth. This system processes vast datasets of creator content and engagement metrics, utilizing AI to match brands with relevant influencers based on pattern recognition algorithms.

AI Tools 278

AI Tools Automation NLP Algorithm 278

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?

Categorization 114

Categorization Algorithm Machine Learning Python 114

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. By transforming category data into numerical labels, label encoding enables us to use them in various algorithms. […] The post How to Perform Label Encoding in Python?

Python 269

Python Categorization Machine Learning Data Analysis 269

Analytics Vidhya

JUNE 8, 2024

Introduction Logistic regression is a statistical technique used to model the probability of a binary (categorical variable that can take on two distinct values) outcome based on one or more predictor variables.

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Categorization Data Analysis Algorithm Generative AI 315

Unite.AI

DECEMBER 5, 2024

It employs algorithms like usage patterns, historical data and peak hour surges to improve bandwidth by analyzing demands and optimizing services. In addition, AI efficiently categorizes threats by assessing their potential severity, impact and damage. This will trigger the incident response team to jump in and protect coverage.

Data Analysis 173

Data Analysis Automation Natural Language Processing AI 173

Flipboard

DECEMBER 27, 2023

If, however, the surveillance system fines one neglectful neighbor more than another because its algorithm favors one skin color or clothing style over another, opinions could change. It insists that algorithms under its authority “do not process any biometric data and do not implement any facial recognition techniques.

Algorithm 181

Algorithm Neural Network Software Development Categorization 181

Unite.AI

JANUARY 23, 2025

These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. Algorithmic bias occurs when the logic and rules within an AI model favor specific outcomes or populations.

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Algorithm AI Development AI Developer AI 113

Marktechpost

JANUARY 2, 2025

With AI-powered features like text recognition, content categorization, and smart search, Evernote ensures that users can quickly locate notes, even within images or scanned documents. Users can create notebooks, categorize content, and collaborate in real time with colleagues.

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AI Tools Categorization AI AI 90

Marktechpost

NOVEMBER 27, 2024

At its core, machine learning algorithms seek to identify patterns within data, enabling computers to learn and adapt to new information. Classification: Categorizing data into discrete classes (e.g., 2) Logistic regression Logistic regression is a classification algorithm used to model the probability of a binary outcome.

Machine Learning 113

Machine Learning Algorithm Neural Network Convolutional Neural Networks 113

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.

Categorization 261

Categorization Natural Language Processing Automation Machine Learning 261

Unite.AI

SEPTEMBER 19, 2023

Bookkeeping involves the meticulous scanning of receipts, methodically tracking all income and expenses, and categorizing expenditures. However, now, you need to categorize it for tax purposes. Imagine this scenario: you’ve purchased a printer for your home office, and it turns out to be of great help.

Categorization 288

Categorization AI AI Automation 288

IBM Journey to AI blog

JANUARY 8, 2024

The Ministry of Justice in Baden-Württemberg recommended using AI with natural language understanding (NLU) and other capabilities to help categorize each case into the different case groups they were handling. The courts needed a transparent, traceable system that protected data. Explainability will play a key role.

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Categorization Automation Explainability Generative AI 264

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. 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. What is machine learning?

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Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

APRIL 13, 2025

Summary: Classifier in Machine Learning involves categorizing data into predefined classes using algorithms like Logistic Regression and Decision Trees. One of the most fundamental tasks in Machine Learning is classification , which involves categorizing data into predefined classes.

Machine Learning 52

Machine Learning Neural Network Categorization Algorithm 52

Marktechpost

FEBRUARY 23, 2025

Furthermore, these frameworks often lack flexibility in assessing diverse research outputs, such as novel algorithms, model architectures, or predictions. A six-level framework categorizes AI research agent capabilities, with MLGym-Bench focusing on Level 1: Baseline Improvement, where LLMs optimize models but lack scientific contributions.

AI Researcher 93

AI Researcher AI Research Software Engineer AI 93

Artificial Corner

AUGUST 19, 2024

If you’re new to ML, you probably must’ve heard of the words “algorithm” or “model” without knowing how they’re related to machine learning. Machine learning algorithms are categorized as supervised or unsupervised. Here’s a brief explanation in plain English. Subscribe now 1.

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Machine Learning Algorithm Categorization Python 97

Aiiot Talk

MARCH 20, 2024

This step involves cleaning your data, handling missing values, normalizing or scaling your data and encoding categorical variables into a format your algorithm can understand. Clean, well-prepped data is more manageable for algorithms to read and learn from, leading to more accurate predictions and better performance.

Machine Learning 215

Machine Learning Categorization Artificial Intelligence Artificial Intelligence 215

Unite.AI

JULY 21, 2023

For example, when implemented correctly, the image recognition algorithm can identify & label the dog in the image. Fundamentally, an image recognition algorithm generally uses machine learning & deep learning models to identify objects by analyzing every individual pixel in an image. How Image Recognition Works?

Computer Vision 244

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 244

Flipboard

FEBRUARY 21, 2025

The best Farshidian can categorize how Spot is moving is that its somewhat similar to a trotting gait, except with an added flight phase (with all four feet off the ground at once) that technically turns it into a run. Understanding these hidden limits in hardware systems lets us improve performance and keep pushing the boundaries on control.

Robotics 181

Robotics Explainability Categorization Algorithm 181

Unite.AI

FEBRUARY 21, 2025

AI-powered algorithms can detect and correct inconsistencies, fill in missing attributes, and classify products based on predefined rules or learned patterns, reducing manual errors and ensuring uniformity across marketplaces, eCommerce platforms, print catalogs, and anywhere else you sell. to create those tailored product recommendations.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

Unite.AI

SEPTEMBER 18, 2023

From chatbots that handle customer requests around the clock to predictive algorithms that preempt system failures, AI is not just an add-on; it is becoming a necessity in tech. Types of AI in ITSM AI in ITSM can be categorized into three types: automation, chatbots, and predictive analysis. Nightmare, right?

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Chatbots Automation Algorithm Natural Language Processing 261

Unite.AI

NOVEMBER 10, 2024

Sentiment analysis to categorize mentions as positive, negative, or neutral. It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Clean and intuitive user interface that's easy to navigate. Easy reporting functionality.

Categorization 147

Categorization AI Tools Natural Language Processing Algorithm 147

AI Weekly

OCTOBER 12, 2023

The US has relied on industry experts, while the EU and Brazil aim to set up a categorical system. forbes.com Not All Algorithms Are AI (Part 2): The Rise Of Real AI ChatGPT And Large Language Models: Now And Beyond Large language models (LLMs) and generative AI are deep learning on steroids. China takes a more restrictive stance.

Robotics 264

Robotics Large Language Models Deep Learning Artificial Intelligence 264

Marktechpost

APRIL 30, 2024

Researchers from Northeastern University, the University of California, Arizona State University, and New York University present this survey thoroughly examining diverse PEFT algorithms and evaluating their performance and computational requirements.

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Large Language Models Categorization Natural Language Processing Algorithm 132

Machine Learning Mastery

MAY 22, 2024

Introduction Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling.

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Explainability Algorithm Categorization Data Science 67

AWS Machine Learning Blog

FEBRUARY 25, 2025

As AIDAs interactions with humans proliferated, a pressing need emerged to establish a coherent system for categorizing these diverse exchanges. The main reason for this categorization was to develop distinct pipelines that could more effectively address various types of requests. This method takes a parameter, which we set to 3.

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Chatbots Categorization LLM Algorithm 77

Marktechpost

AUGUST 26, 2023

Their newly integrated AutoGPTQ library in the Transformers ecosystem allows users to quantize and run LLMs using the GPTQ algorithm. To tackle this, the researchers integrated the GPTQ algorithm, a quantization technique, into the AutoGPTQ library.

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Algorithm Large Language Models Natural Language Processing Categorization 98

IBM Journey to AI blog

SEPTEMBER 3, 2024

This data is created algorithmically to mimic the characteristics of real-world data and can serve as an alternative or supplement to it. “A lot of research is going into developing more computationally efficient algorithms,” Smolinksi adds. But when you have constraints, you become more creative.”

Generative AI 308

Generative AI LLM Large Language Models AI 308

IBM Journey to AI blog

JANUARY 25, 2024

Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Do you have purpose-built algorithms to improve intermittent and variable demand forecasting? Master data enrichment to enhance categorization and materials attributes.

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Algorithm Categorization Data Quality Artificial Intelligence 233

Aiiot Talk

JANUARY 24, 2024

AI algorithms can categorize emails more effectively than traditional filters, prioritizing important messages and reducing the clutter of less relevant ones. Bias in AI Algorithms AI systems are only as unbiased as the data they are trained on. “AI in email is about creating an intuitive and responsive experience.”

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Automation Artificial Intelligence Artificial Intelligence Natural Language Processing 231

IBM Journey to AI blog

JUNE 5, 2024

Modern SaaS analytics solutions can seamlessly integrate with AI models to predict user behavior and automate data sorting and analysis; and ML algorithms enable SaaS apps to learn and improve over time. AI and ML algorithms enhance these features by processing unique app data more efficiently.

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DevOps Automation ML Machine Learning 236

Marktechpost

OCTOBER 29, 2024

Its Python domain offers simple, medium, and hard challenges that are categorized for gradual learning. By focussing on topics like algorithms, regex, string manipulation, and maths, each challenge enhances fundamental Python abilities.

Python 113

Python Machine Learning Categorization Algorithm 113

Marktechpost

MARCH 11, 2024

This shift involves converting real-valued targets to categorical labels and minimizing categorical cross-entropy. Their work extensively examines methods for training value functions with categorical cross-entropy loss in deep RL. Their approach transforms the regression problem in TD learning into a classification problem.

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Neural Network Categorization Deep Learning Robotics 128

Towards AI

JANUARY 16, 2025

Source: UC Berkeley Types of AI Agents World Economic Forum has categorized AI agents into the following types: 1. By using goal-oriented planning algorithms, they excel in complex decision-making tasks. Leverage Learning Module to reflect on the outcomes of the action to enhance future performance.

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AI AI Chatbots Large Language Models 98

Unite.AI

OCTOBER 17, 2023

In the past, the business relied on a conventional approach to segmentation, categorizing customers by geographic location, based on the underlying assumption that farmers from the same region would have similar needs. For example, in the US, mortgage companies have been under fire for alleged racial profiling of their AI algorithms.

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AI AI Machine Learning Algorithm 277

AWS Machine Learning Blog

FEBRUARY 13, 2025

On our website, users can subscribe to an RSS feed and have an aggregated, categorized list of the new articles. However, to demonstrate how this system works, we use an algorithm designed to reduce the dimensionality of the embeddings, t-distributed Stochastic Neighbor Embedding (t-SNE) , so that we can view them in two dimensions.

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Neural Network Algorithm Software Engineer Categorization 108