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?

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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.

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Data Analysis Automation Natural Language Processing AI 173

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.

Algorithm 113

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.

AI Tools 90

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.

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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 Automation AI 288

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 Research 93

AI Research AI Researcher Software Engineer AI 93

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?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

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.

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Robotics Explainability Categorization Algorithm 181

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

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

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

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.

Explainability 74

Explainability Algorithm Categorization Data Science 74

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

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.

Large Language Models 132

Large Language Models Categorization Natural Language Processing Algorithm 132

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.

Neural Network 110

Neural Network Algorithm Software Engineer Categorization 110

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.”

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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.”

Automation 231

Automation Artificial Intelligence Natural Language Processing Artificial Intelligence 231

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

Unite.AI

AUGUST 13, 2023

These limitations include: Reactive approaches, predominantly relying on human moderation and static algorithms, struggle to keep pace with the rapid dissemination of hate speech. Limitations of Current Mitigation Techniques & The Need for Proactive Measures The current measures to mitigate hate speech are limited.

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AI AI AI Modeling Categorization 246

AWS Machine Learning Blog

JUNE 3, 2024

To find the relationship between a numeric variable (like age or income) and a categorical variable (like gender or education level), we first assign numeric values to the categories in a way that allows them to best predict the numeric variable. Linear categorical to categorical correlation is not supported.

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Generative AI Categorization Auto-complete Auto-classification 124

Unite.AI

JULY 25, 2024

In this case, AI and machine learning algorithms are tasked with analyzing the X-ray scattering patterns to identify recurring motifs and trends that might elude human observers. Unsupervised machine learning algorithm A key component of this new approach is the use of an unsupervised machine learning algorithm.

Neural Network 182

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 182

Machine Learning Mastery

OCTOBER 12, 2024

This guide explores techniques for identifying important variables, creating new features, and selecting appropriate algorithms. We'll also cover essential preprocessing techniques such as handling missing data and encoding categorical variables. These approaches apply to various applications, from forecasting trends…

Categorization 98

Categorization Algorithm 98

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Towards AI

SEPTEMBER 25, 2024

This blog explores five crucial preprocessing techniques that every data scientist must master: handling missing data, scaling and normalization, encoding categorical data, feature engineering, and dealing with imbalanced data. Join thousands of data leaders on the AI newsletter. From research to projects and ideas.

Machine Learning 111

Machine Learning Data Scientist Categorization Data Science 111

Unite.AI

JUNE 11, 2024

Second, the LightAutoML framework limits the range of machine learning models purposefully to only two types: linear models, and GBMs or gradient boosted decision trees, instead of implementing large ensembles of different algorithms.

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Auto-classification Machine Learning Data Scientist Metadata 263

Unite.AI

SEPTEMBER 18, 2023

Blockchain technology can be categorized primarily on the basis of the level of accessibility and control they offer, with Public, Private, and Federated being the three main types of blockchain technologies. The Paillier algorithm works as depicted.

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Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Pickl AI

DECEMBER 26, 2024

A study demonstrated that quantum algorithms could accelerate the discovery of new materials by up to 100 times compared to classical methods. Enhanced Machine Learning algorithms can uncover complex patterns in vast datasets. Key Takeaways Quantum Computing significantly accelerates AI model training and data processing times.

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Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 52