Dataconomy

JUNE 17, 2025

Definition of an entity At its core, an entity signifies a distinct unit with independent existence. They often employ the Unified Modeling Language (UML) to ensure clarity in complex systems. Entities in databases Within databases, entities are characterized by their definition as objects, such as people or locations.

Database 91

Database Natural Language Processing Machine Learning Machine Learning 91

Flipboard

NOVEMBER 20, 2024

When you send a message to a model, you can provide definitions for one or more tools that could potentially help the model generate a response. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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AWS Natural Language Processing Machine Learning Machine Learning 159

Dataconomy

MARCH 17, 2025

PyTorch has emerged as one of the most prominent frameworks in the realm of machine learning and deep learning, captivating both researchers and developers alike. PyTorch is an open-source machine learning framework widely used for deep learning applications. What is PyTorch?

Natural Language Processing 91

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How to Learn Machine Learning

MAY 2, 2025

Welcome to this comprehensive guide on Azure Machine Learning , Microsoft’s powerful cloud-based platform that’s revolutionizing how organizations build, deploy, and manage machine learning models. This is where Azure Machine Learning shines by democratizing access to advanced AI capabilities.

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Dataconomy

APRIL 14, 2025

Computational linguistics integrates computer science, linguistics, and artificial intelligence to analyze language through computational methods. This interdisciplinary field focuses on creating systems that can interpret and generate human language, thus facilitating communication between humans and machines.

Natural Language Processing 91

Natural Language Processing Computer Science Computer Science Machine Learning 91

Analytics Vidhya

JANUARY 17, 2023

Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

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Dataconomy

APRIL 28, 2025

The Adaptive Gradient Algorithm (AdaGrad) represents a significant stride in optimization techniques, particularly in the realms of machine learning and deep learning. By dynamically adjusting the learning rates for different parameters during model training, AdaGrad helps tackle challenges of convergence and efficiency.

Algorithm 91

Algorithm Natural Language Processing Machine Learning Machine Learning 91

AWS Machine Learning Blog

JANUARY 30, 2025

Solution overview Smart Subgroups Interpreter combines elements of unsupervised machine learning with generative AI to uncover hidden patterns in real-world data. The AML feature store standardizes variable definitions using scientifically validated algorithms. Ornela Xhelili is a Staff Machine Learning Architect at Aetion.

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Clustering Natural Language Processing AI AI 85

ODSC - Open Data Science

APRIL 4, 2025

In the evolving field of natural language processing (NLP), data labeling remains a critical step in training machine learning models. As machine learning applications grow more complex, the demand for high-quality, labeled data has skyrocketed, making fully manual annotation increasingly unsustainable.

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AWS Machine Learning Blog

FEBRUARY 6, 2025

The Measures Assistant prompt template contains the following information: A general definition of the task the LLM is running. An in-context learning technique that includes semantically relevant solved questions and answers in the prompt. About the Authors Javier Beltrn is a Senior Machine Learning Engineer at Aetion.

Natural Language Processing 85

Natural Language Processing AI AI Machine Learning 85

Dataconomy

MAY 12, 2025

A validation set is a critical element in the machine learning process, particularly for those working within the realms of supervised learning. What is a validation set in machine learning? Dataset splits in machine learning Proper management of datasets is foundational in machine learning.

Supervised Learning 91

Supervised Learning Machine Learning Machine Learning Natural Language Processing 91

Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

Machine Learning 109

Machine Learning Machine Learning ML ML 109

Dataconomy

JUNE 16, 2025

Structured data refers to information that is organized into a well-defined format, allowing for straightforward processing and analysis. Definition and characteristics of structured data Structured data is typically characterized by its organization within fixed fields in databases.

Database 91

Database Data Lakes ETL Natural Language Processing 91

AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

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Natural Language Processing Machine Learning Machine Learning ML 113

Dataconomy

MARCH 13, 2025

These sophisticated algorithms facilitate a deeper understanding of data, enabling applications from image recognition to natural language processing. What is deep learning? Deep learning is a subset of artificial intelligence that utilizes neural networks to process complex data and generate predictions.

Deep Learning 91

Deep Learning Deep Learning Natural Language Processing Machine Learning 91

Dataconomy

APRIL 14, 2025

Shapley values stand out as a powerful tool in the realm of machine learning, bridging the gap between complex model predictions and human understanding. Definition and purpose of Shapley values At their core, Shapley values offer a systematic way to assess how much each feature influences the outcome of a prediction.

Machine Learning 91

Machine Learning Machine Learning Natural Language Processing Data Scientist 91

AWS Machine Learning Blog

DECEMBER 23, 2024

The process can be broken down as follows: Based on domain definition, the large language model (LLM) can identify the entities and relationship contained in the unstructured data, which are then stored in a graph database such as Neptune. Lettria provides an accessible way to integrate GraphRAG into your applications.

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AWS Natural Language Processing AI AI 132

Flipboard

APRIL 24, 2025

Reducing the prompt context to the in-focus data domain enables greater scope for few-shot learning examples, declaration of specific business rules, and more. This can be implemented using natural language processing (NLP) or LLMs to apply named entity recognition (NER) capabilities to drive the resolution process.

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SQL Database AWS ML 148

Flipboard

JUNE 24, 2025

OpenInference provides a set of instrumentations for popular machine learning (ML) SDKs and frameworks in a variety of languages. It is a set of conventions and plugins that is complimentary to OpenTelemetry and online transaction processing (OLTP) to enable tracing of AI applications. Richa Gupta is a Sr.

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AI AI AWS Machine Learning 136

Eugene Yan

JUNE 21, 2025

Open-ended questions: Queries on broad themes or interpretative topics rarely have a single definitive answer, especially for large documents or corpora. Definitions: These assess a model’s ability to explain domain-specific content based on the document. or “What is the legal clause mentioned in Section 2.1?”

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Clustering Natural Language Processing AI AI 268

Dataconomy

APRIL 27, 2023

An AI computer, also known as an artificial intelligence computer, is a computer system that is specifically designed to perform tasks that would typically require human intelligence, such as reasoning, problem-solving, and learning. They can also switch between different tasks and learn from new data.

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Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Goals To predict future events and trends.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

Dataconomy

APRIL 4, 2025

Definition and role of AI prompt engineers AI prompt engineers are responsible for crafting and refining prompts used in AI models, including OpenAI’s ChatGPT and Google’s Bard. They serve as intermediaries, enabling seamless communication between complex machine learning systems and user inquiries.

AI 91

AI AI Natural Language Processing Machine Learning 91

Dataconomy

MARCH 4, 2025

Transformer Neural Networks have revolutionized the way we process and understand sequential data, particularly in natural language processing (NLP). Their remarkable efficiency and effectiveness in handling various tasksfrom language translation to text generationhave made them a cornerstone of modern AI.

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The MLOps Blog

MARCH 21, 2023

Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. What is a machine learning platform?

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Dataconomy

MAY 9, 2025

Memory-augmented neural networks (MANNs) represent a fascinating intersection of machine learning and cognitive science. The integration of memory in MANNs mimics certain cognitive processes found in humans, enabling them to tackle tasks that require recalling complex sequences or responding to queries with relevant stored knowledge.

Natural Language Processing 91

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Her interests include computer vision, natural language processing, and edge computing. In her spare time, she can be found rock climbing, playing the piano, or learning how to bake the perfect scone. Outside the tech world, he recharges by hitting the golf course and embarking on scenic hikes with his dog.

Natural Language Processing 119

Natural Language Processing AI AWS AI 119

Dataconomy

MARCH 10, 2025

Contrastive learning is making waves in the machine learning world, providing a transformative approach to how data representations are learned and refined. This is particularly advantageous in areas where labeled data is scarce, such as natural language processing and computer vision.

Natural Language Processing 91

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Towards AI

JANUARY 2, 2024

This guide offers a gentle introduction to Computer Vision, detailing its definition, how it works, and delving into its primary algorithms and tasks. Here, you’ll find some of my latest articles on Data Science and Machine Learning: 10+ Python packages for Natural Language Processing that you can’t miss, along with their corresponding code.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 122

Dataconomy

SEPTEMBER 25, 2024

AI integration in real-time data processing Artificial intelligence enhances real-time data processing through better comprehension with the help of advanced machine learning algorithms and analytics to act on that information. Natural language processing AI is the enabler of real-time analytics of texts and speeches.

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AI AI Machine Learning Machine Learning 160

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. with a default value of 1.0.

Data Preparation 99

Data Preparation Machine Learning Machine Learning ML 99

Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. At the time, the NLP community was definitely starting to feel the buzz of these different advances. GPT-2 released with 1.5

Natural Language Processing 52

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AWS Machine Learning Blog

DECEMBER 18, 2024

Therefore, the OpenAPI schema definition has a big impact on API selection accuracy and might require design optimizations. In order to maximize accuracy and improve efficiency with an Amazon Q Business custom plugin, follow the best practices for configuring OpenAPI schema definitions.

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Heartbeat

FEBRUARY 9, 2023

Photo by Brooks Leibee on Unsplash Introduction Natural language processing (NLP) is the field that gives computers the ability to recognize human languages, and it connects humans with computers. SpaCy is a free, open-source library written in Python for advanced Natural Language Processing.

Natural Language Processing 52

Natural Language Processing Python Deep Learning Deep Learning 52

Dataconomy

MARCH 6, 2025

Definition and characteristics of algorithms Algorithms are characterized by their systematic procedures. Machine learning as an algorithm example Machine learning encompasses a variety of algorithms that learn from data and improve over time.

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Algorithm Machine Learning Machine Learning Deep Learning 91

Dataconomy

MARCH 17, 2025

By leveraging statistical techniques and machine learning, organizations can forecast future trends based on historical data. Through various statistical methods and machine learning algorithms, predictive modeling transforms complex datasets into understandable forecasts.

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Decision Trees Predictive Analytics Data Preparation Machine Learning 91