KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 391

Machine Learning Machine Learning Data Science Data Mining 391

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 209

Machine Learning Machine Learning Data Science Data Mining 209

Dataconomy

AUGUST 31, 2023

Classification in machine learning involves the intriguing process of assigning labels to new data based on patterns learned from training examples. Machine learning models have already started to take up a lot of space in our lives, even if we are not consciously aware of it.

Machine Learning 136

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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?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Dataconomy

SEPTEMBER 22, 2023

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving. Traditional data compression methods often rely on rules-based algorithms that identify and remove obvious duplicates or redundancies.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

Dataconomy

JUNE 16, 2023

The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. Employees are regularly monitored by the tool, which also alerts them to any possible data breaches.

AI 193

AI AI Natural Language Processing Data Classification 193

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Labeling the asset.

Data Classification 52

Data Classification Data Governance Data Analyst Analytics 52

Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

MAY 3, 2023

Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also code, including machine learning code. Vector databases can store them and are designed for search and data mining.

ML 98

ML ML Machine Learning Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS ML ML Data Classification 99

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. That’s where the foundation model enters the picture. The platform comprises three powerful products: The watsonx.ai

AI 70

AI AI Machine Learning Machine Learning 70

ODSC - Open Data Science

MARCH 17, 2023

Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI Learn more about Cleanlab, an open-source software library that can help with fixing and cleaning machine learning datasets with ease. Register now for 40% off.

Deep Learning 52

Deep Learning Deep Learning Data Classification Machine Learning 52

Flipboard

JANUARY 4, 2025

This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era.

Data Classification 65

Data Classification Analytics Analytics Computer Science 65

Analytics Vidhya

APRIL 5, 2023

Enter the Era of Generative AI With Google Cloud Google Cloud has recently unveiled its latest generative AI capabilities. The latest tools will make it easier than ever for enterprises to develop and deploy advanced AI applications.

AI 324

AI AI Analytics Analytics 324

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Advancements in AI and natural language processing (NLP) show promise to help lawyers with their work, but the legal industry also has valid questions around the accuracy and costs of these new techniques, as well as how customer data will be kept private and secure.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. In Amazon Kendra, facets are scoped views of a set of search results.

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Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. Similarly, in healthcare, ANNs can predict patient outcomes based on historical medical data.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Features such as normalizing key fields and summarizing input data support faster cycles for managing document process workflows, while reducing the potential for errors.

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AWS Machine Learning Blog

JULY 14, 2025

Finally, the strategy implements a structured data classification framework that addresses security and compliance concerns. His expertise lies in helping organizations transform their data challenges into competitive advantages through innovative cloud solutions while mentoring teams and driving technological excellence.

Data Lakes 70

Data Lakes AWS AI AI 70

Alation

JULY 13, 2021

The Five Pain Points of Moving Data to the Cloud. Data classification presents challenges when moving environments. Data governance is hard, especially when building trust and quality. Whether you’re DevOps or machine-learning oriented, Ibby recommends that a little of your own exploration can go a long way.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Pickl AI

DECEMBER 4, 2024

Summary: A perceptron is the simplest form of an artificial neural network, designed to classify input data into two categories. Perceptrons are foundational in Machine Learning, paving the way for more complex models. Key Takeaways A Perceptron mimics biological neurons for data classification. Colour Weight = 1.0

Machine Learning 52

Machine Learning Machine Learning Supervised Learning Data Classification 52

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? These questions drive classification. Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” “What am I required to do? What do we know? They drive labeling.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Mlearning.ai

MAY 8, 2023

We can also use a box plot to demonstrate the data distribution of features such as ‘area_mean’ and ‘radius_mean’ from individuals whose nuclei mass was malignant or benign. This is a data normalization technique that is commonly used in machine learning to scale the features of a dataset to a specified range. symmetry j.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Alation

MAY 16, 2023

Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. This makes it easier to compare and contrast information and provides organizations with a unified view of their data.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

AWS Machine Learning Blog

NOVEMBER 22, 2023

By storing less volatile data on technologies designed for efficient long-term storage, you can optimize your storage footprint. For archiving data or storing data that changes slowly, Amazon S3 Glacier and Amazon S3 Glacier Deep Archive are available.

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phData

FEBRUARY 14, 2023

Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios. As the insurance industry continues to generate a wider range and volume of data, it becomes more challenging to manage data classification.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

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phData

FEBRUARY 16, 2023

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.

Database 52

Database Azure Data Classification Data Governance 52

Alation

AUGUST 11, 2021

A tall order, but Anthony and his team had a plan: build a data governance foundation. This entailed surveying the data ecosystem of the entire organization and creating data classification, retention, and quality standards, including data certification. Governance is embedded at every step.

Data Governance 52

Data Governance Data Warehouse Data Classification Cloud Data 52

Alation

MAY 16, 2023

Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. This makes it easier to compare and contrast information and provides organizations with a unified view of their data.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

Alation

AUGUST 26, 2021

So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Again, metadata is key.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? What technology or platform can meet the needs of the business, from basic report creation to complex document analysis to machine learning workflows? The Snowflake AI Data Cloud is the platform that will support that and much more!

Data Governance 52

Data Governance Analytics Analytics Power BI 52