Hacker News

NOVEMBER 27, 2024

A collection of Python scripts, including the ones originally used to crawl the data, and to perform experiments. These scripts are detailed in a document released within the folder. "I'm in the Bluesky Tonight": Insights from a Year Worth of Social Data. IR0000013 – Avviso n.

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Smart Data Collective

JANUARY 26, 2021

Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. According to the Microsoft documentation page, big data usually helps business intelligence with many objectives. How to Find a Quality Translation Company.

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Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

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AWS Machine Learning Blog

JANUARY 30, 2025

Your task is to review a proposal document from the perspective of a given persona, and assess it based on dimensions defined in a rubric. Review the provided proposal document: {PROPOSAL} 2. Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

The agent knowledge base stores Amazon Bedrock service documentation, while the cache knowledge base contains curated and verified question-answer pairs. For this example, you will ingest Amazon Bedrock documentation in the form of the User Guide PDF into the Amazon Bedrock knowledge base. This will be the primary dataset.

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Smart Data Collective

AUGUST 30, 2022

Centralized data storage. For example, e-mail messages and documents are stored in the cloud, giving users access to their data from any location. Information is encrypted and stored on firewalls or protected by redundancy and many other security methods to ensure data safety. Big data analytics.

Cloud Computing 140

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Smart Data Collective

SEPTEMBER 13, 2021

Construction companies that use the right analytics tools will be better informed of the issues they face, which means that project managers and other employees have fewer excuses. Improve Documentation. Construction analytics technology also helps ensure better documentation. Did it happen during the ordering process?

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today. This includes formats like emails, PDFs, scanned documents, images, audio, video, and more.

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AWS Machine Learning Blog

MARCH 3, 2023

With faster model training times, you can focus on understanding your data and analyzing the impact of the data, and achieve effective business outcomes. You can learn more on the SageMaker Canvas product page and the documentation. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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Smart Data Collective

OCTOBER 16, 2023

Big data is generated primarily by three sources: Business Companies generate massive amounts of data daily. Financial data (invoices, transactions, billing data) and internal and external documents (reports, business letters, production plans, and so on) are examples of this.

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Smart Data Collective

AUGUST 30, 2021

Continuing your investment in a knowledge management tool makes sense only when your employees use your KB regularly to resolve workplace issues and find business-related documents. So, to gather some qualitative data to improve your KB, ask your employees these questions: Was a particular document easy to find? If so, why?

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Smart Data Collective

MAY 16, 2022

Big data is changing the future of the healthcare industry. Healthcare providers are projected to spend over $58 billion on big data analytics by 2028. Healthcare organizations benefit from collecting greater amounts of data on their patients and service partners. Enables Seamless Data Standardization.

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Flipboard

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Amazon Textract – You can use this ML service to extract metadata from scanned documents and images.

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Flipboard

MARCH 22, 2023

Register the Data Wrangler application within the IdP Refer to the following documentation for the IdPs that Data Wrangler supports: Azure AD Okta Ping Federate Use the documentation provided by your IdP to register your Data Wrangler application. Bosco Albuquerque is a Sr.

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AWS Machine Learning Blog

APRIL 9, 2025

Consider this common scenario: traditionally, employees spend countless hours searching through siloed documents, knowledge bases, and various repositories to find answers to their questions. This time-consuming process not only impacts productivity but also leads to significant operational costs. Leo Mentis Raj Selvaraj is a Sr.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

For the dataset in this use case, you should expect a “Very low quick-model score” high priority warning, and very low model efficacy on minority classes (charged off and current), indicating the need to clean up and balance the data. Refer to Canvas documentation to learn more about the data insights report.

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ODSC - Open Data Science

FEBRUARY 8, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

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Dataconomy

JULY 4, 2023

Effective decision-making with big data and AI Hyperautomation harnesses the power of Big Data and AI technology to extract valuable insights from vast amounts of data. This empowers companies to respond promptly to market trends, customer demands, and emerging opportunities.

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Smart Data Collective

MAY 15, 2019

Big data has opened a number of doors for marketers. One of the most overlooked benefits of big data is that it allows marketers to translate documents from one language to another. Big data is going to be at the forefront of the translation industry in the near future.

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ODSC - Open Data Science

FEBRUARY 6, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

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Smart Data Collective

MARCH 28, 2022

The volume of big data can be significantly large, which calls for the need for a data analytics system to help efficiently process the information and make strategic decisions based on it.

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Pickl AI

JULY 10, 2023

These packages allow for text preprocessing, sentiment analysis, topic modeling, and document classification. It allows data scientists to combine code, documentation, and visualizations in a single document, making it easier to share and reproduce analyses.

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Precisely

AUGUST 8, 2023

The Need for Data Governance The number of connected devices has expanded rapidly in recent years, as mobile phones, telematics devices, IoT sensors, and more have gained widespread adoption. At the same time, big data analytics has come of age. The term “data governance” is often used in concert with “data management.”

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Pickl AI

JUNE 29, 2023

Embrace Big Data Analytics With data’s exponential growth, organisations increasingly rely on big data analytics. Splunk’s ability to handle large volumes of data and provide real-time insights positions professionals to excel in the big data analytics field.

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IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development.

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Mlearning.ai

JANUARY 26, 2023

In other words, ARCO version of the data should be something that is highest quality, fully documented and optimised for web-services / advanced analysis. Typical steps include: Prepare your data in some Cloud-native format, analysis-ready and fully documented, a consistent file naming convention, spatial resolutions, bounding box etc.

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Pickl AI

MARCH 19, 2023

The revolutionary change the data has brought has sent a ripple effect across the industry spectrum. Dealing with a large volume of structured and unstructured data requires meticulous work and precision. Data scientists and Big Data analytics work rigorously to derive useful insights.

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ODSC - Open Data Science

SEPTEMBER 19, 2024

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation. How can big data analytics help?

AI 40

AI AI Data Science Big Data Analytics 40

Pickl AI

DECEMBER 2, 2024

Variety Variety indicates the different types of data being generated. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Velocity Velocity pertains to the speed at which data is generated and processed.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Variety Variety indicates the different types of data being generated. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Velocity Velocity pertains to the speed at which data is generated and processed.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

AWS Machine Learning Blog

MAY 10, 2023

You can learn more on the Canvas product page and documentation. His knowledge ranges from application architecture to big data, analytics, and machine learning. As business analysts, we created various visualizations to assess the trends in QuickSight. Varun Mehta is a Solutions Architect at AWS.

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ODSC - Open Data Science

FEBRUARY 15, 2024

Once validated, the deployment tools facilitate the integration of these models into real-world applications, be it in automating customer support interactions, analyzing financial documents, or interpreting medical texts. DOLMA The DOLMA dataset is a collection of documents and their corresponding logical forms.

Data Science 52

Data Science Natural Language Processing Big Data Analytics Big Data Analytics 52

Alation

OCTOBER 5, 2021

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1).

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ODSC - Open Data Science

JANUARY 31, 2024

This LLM framework lets you curate and organize your own data sources, like documents, databases, and APIs, making them readily accessible to your LLM. This means is that you can ask your LLM questions about your specific data, not just the generic internet firehose. Let’s explore some of the top contenders.

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Pickl AI

APRIL 30, 2023

File Storage Platform The online File Storage Platform using cloud computing allows end-users to host files, documents and videos on cloud. The application providers the users with simple interface and use, view and upload documents from the local computers to these sites.

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

AWS Machine Learning Blog

MARCH 10, 2023

To get started with Data Wrangler, see Prepare ML Data with Amazon SageMaker Data Wrangler and see the latest information on the Data Wrangler product page and AWS technical documents. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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Pickl AI

NOVEMBER 21, 2024

Employees can access applications and data on various devices, facilitating seamless communication and project management. For instance, platforms like Google Workspace allow multiple users to collaborate on documents in real time, enhancing productivity. Data Security Security is a top concern for businesses today.

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