Large Language Models (LLMs) to standardize scientific data, including data format standardization, automatic extraction of metadata, data annotation, data quality assessment, data cleaning, and documentation.

2 views • 5 slides

This course at National Taipei University delves into fundamental concepts, research issues, and practical applications of Big Data Analysis. Taught by Dr. Min-Yuh Day, the syllabus covers topics such as AI, machine learning, deep learning, and industry practices related to big data analysis. Studen

5 views • 80 slides

The Digital Personal Data Protection Act of 2023 aims to regulate the processing of digital personal data while balancing individuals' right to data protection and lawful data processing. It covers various aspects such as obligations of data fiduciaries, rights of data principals, and the establishm

3 views • 28 slides

To stay ahead of the curve in the fast-paced field of data engineering, creativity is essential. Chat-based solutions are becoming a major player in the development of data engineering as businesses look to streamline their data workflows. Chat based data engineering is transforming how teams intera

3 views • 1 slides

This study delves into gender bias evaluation in BERTi, a large language model trained on South Slavic data. It explores issues in language modeling, the impact of social biases in artificial intelligence, and training processes of Large Language Models (LLMs). Additionally, it discusses how LLMs le

11 views • 16 slides

Large construction dumpster rental services offer convenient and efficient waste management solutions for construction sites and projects of all sizes. These services provide dumpsters in various sizes to accommodate the diverse needs of construction sites, allowing for the disposal of heavy and bul

2 views • 5 slides

The Large Lakes Observatory (LLO) at the University of Minnesota Duluth is a leading academic program focused on limnology, oceanography, and research dedicated to inland seas. LLO's unique focus on oceanographic research methods applied to large lakes worldwide is supported by the Blue Heron resear

9 views • 28 slides

NCI Data Collections BARPA & BARRA2 serve as critical enablers of big data science and analytics in Australia, offering a vast research collection of climate, weather, earth systems, environmental, satellite, and geophysics data. These collections include around 8PB of regional climate simulations a

5 views • 22 slides

The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

9 views • 2 slides

The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

7 views • 2 slides

In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.

2 views • 2 slides

Data wrangling tool like Ask On Data plays a pivotal role in reshaping IT strategies by elevating data quality, streamlining data preparation, facilitating data integration, empowering citizen data scientists, and driving innovation and agility. As businesses continue to harness the power of data to

2 views • 2 slides

In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl

0 views • 2 slides

Organizations generate and gather enormous amounts of data from diverse sources in today's data-driven environment. This raw data, often unstructured and messy, holds immense potential for driving insights and informed decision-making. However, transforming this raw data into a usable format is a ch

0 views • 2 slides

The importance of a robust data wrangling tool like Ask On Data cannot be overstated in today's data-centric landscape. By streamlining the data preparation process, enhancing productivity, ensuring data quality, and fostering collaboration, Ask On Data empowers organizations to unlock the full pote

0 views • 2 slides

Data migration tools are indispensable for organizations looking to transform their big data into actionable insights. Ask On Data exemplifies how these tools can streamline the migration process, ensuring data integrity, scalability, and security. By leveraging Ask On Data, organizations can achiev

0 views • 2 slides

Data wrangling is the cornerstone of effective business intelligence. Without clean, accurate, and well-organized data, the insights derived from analysis can be misleading or incomplete. Ask On Data provides a comprehensive solution to the challenges of data wrangling, empowering businesses to tran

0 views • 2 slides

In today's data-driven world, the ability to seamlessly migrate and manage data is essential for businesses striving to stay competitive and agile. Data migration, the process of transferring data from one system to another, can often be a daunting task fraught with challenges such as data loss, com

1 views • 2 slides

Large scale retailing encompasses department stores, multiple shops, mail-order businesses, and super bazaars. It can be classified into store-based and non-store based retailing, further divided based on ownership and merchandise offered. Store-based retailers include independent retailers, chain r

1 views • 16 slides

Delve into the world of data science with Grade IX Version 1.0! This educational material covers essential topics such as the definition of data, distinguishing data from information, the DIKW model, and how data influences various aspects of our lives. Discover the concept of data footprints, data

1 views • 31 slides

Pulsed-Field Gel Electrophoresis (PFGE) is a technique developed to effectively separate large DNA molecules through the application of an electric field that periodically changes direction. This method, introduced by David C. Schwartz and Charles C. Cantor in 1984, revolutionized the resolution of

1 views • 11 slides

The metatarsus bones of an ox consist of fusion of large and small metatarsal bones. The large metatarsal bone has distinct features at its proximal and distal extremities, while the small metatarsal is disc-shaped and located at the postero-medial aspect. The ox also has three metatarsal bones, one

0 views • 18 slides

Large format porcelain tiles are a striking flooring\\r\\nand wall covering decision for both private and business applications. They are depicted by their huge\\r\\nsize, routinely studying 24 deadheads by 24 inches or more objective, which considers a characteristic\\r\\nand rich thoroughly search

3 views • 5 slides

This study examines the metacarpal bones of ox, focusing on the large metacarpal and the lateral small metacarpal. The large metacarpal consists of a shaft with distinct surfaces and borders, while the proximal and distal extremities have specific features for articulation and ligament attachment. T

4 views • 13 slides

Databases play a crucial role in research data management by allowing systematic organization, easy data entry, manipulation, and analysis. They enable storing and accessing data efficiently, ensuring data integrity and security, and facilitating complex queries and associations that are not possibl

0 views • 58 slides

Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma

0 views • 8 slides

Data governance in Grade XII Data Science Version 1.0 covers aspects like data quality, security, architecture, integration, and storage. Ethical guidelines emphasize integrity, honesty, and accountability in handling data. Data privacy ensures control over personal information collection and sharin

7 views • 44 slides

The Board of Taxation developed a voluntary Tax Transparency Code to address community concerns and promote greater tax transparency among large businesses. The Code outlines recommended disclosures for both large and medium businesses, encouraging adoption of higher disclosure standards. Internatio

0 views • 20 slides

MapReduce is a system designed for distributed processing of large datasets, providing automatic parallelization, fault tolerance, and clean abstraction for programmers. It allows for easy writing of distributed programs with built-in reliability on large clusters. Despite its popularity in the late

0 views • 52 slides

Data preparation, also known as data pre-processing, is a crucial step in the data mining process. It involves transforming raw data into a clean, structured format that is optimal for analysis. Proper data preparation ensures that the data is accurate, complete, and free of errors, allowing mining

1 views • 37 slides

Data preparation is a crucial step in the data science process, involving tasks such as data integration, cleaning, normalization, and transformation. Data gathered from various sources may have inconsistencies in attribute names and values, requiring uniformity through integration. Cleaning data ad

1 views • 50 slides

This guidebook explores the challenges and benefits of managing data from emerging technologies in transportation. It discusses the significance of big data, the need for a modern approach to data management, and offers a roadmap for agencies to transition towards this data management strategy. The

2 views • 21 slides

Explore the impact and role of data utilization in organizations through the investigation of data collection methods, data quality, decision-making processes, reliability of collection methods, factors affecting data quality, and privacy considerations. Two scenarios are presented: data collection

1 views • 24 slides

The large intestine plays a crucial role in digestion. This comprehensive overview covers the different parts of the large intestine, characteristic features of the colon, anatomy details, peritoneal covering, relations with surrounding structures, arterial and nerve supply, and important flexures l

0 views • 13 slides

Explore how Apache Pig can be utilized in the Hadoop ecosystem to process large-scale data efficiently. Learn about concepts such as handling multiple inputs, job chaining, setting reducers, and utilizing a distributed cache. Compare Hadoop with SQL and understand why SQL might not be suitable for l

0 views • 78 slides

Explore the breakdown of municipal election laws in cities and large towns, including nomination procedures, election oversight, and candidate selection methods. Learn about the differences between large towns and small towns in the election process, as well as who manages elections for cities and l

0 views • 29 slides

Explore the journey of data from collection to preservation in a group setting. Post-its are arranged to represent the different stages like Analyzing Data, Preserving Data, Processing Data, and more. Snippets cover tasks such as Collecting data, Migrating data, Managing and storing data, and more,

0 views • 4 slides

Large, dynamic data user and enterprise-generated data are increasingly popular, leading to the need for better data management systems. Today's approaches involve handling evolving datasets, algorithmic trading, log analysis, and more. The DBToaster project focuses on lightweight systems for managi

0 views • 37 slides

INDEPTH Network emphasizes the importance of iSHARE2 & CiB to enhance data sharing and management among member centers. iSHARE2 aims to streamline data provision in a standardized manner, while CiB provides a comprehensive data management solution. The objectives of iSHARE2 include facilitating data

0 views • 17 slides

BlinkDB is a framework built on Apache Hive, designed to support interactive SQL-like aggregate queries over massive datasets. It creates and maintains samples from data for fast, approximate query answers, supporting various aggregate functions with error bounds. The architecture includes modules f

0 views • 26 slides