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

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

6 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

Data migration is a critical process for businesses looking to upgrade their systems, move to the cloud, or consolidate their data assets. However, traditional migration methods often involve downtime, which can disrupt business operations and impact productivity. Zero-downtime data migration addres

1 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

Graph-based data science offers a powerful approach to analyzing data by leveraging graph structures. This involves using graph representation, analysis algorithms, ML/AI techniques, kernels, embeddings, and neural networks. Real-world examples show the utility of data graphs in various domains like

3 views • 37 slides

This course covers the objectives, learning outcomes, and contents related to data structures in CSC 207. Students will learn about data type specifications, representation techniques, algorithm analysis, recursive methods, and practical applications of data structures. The course delves into basic

1 views • 22 slides

Exploring the development of latent fingerprints through physical and chemical methods, conditions affecting latent prints, and various fingerprint development techniques like visual examination, powder techniques, and chemical techniques. Techniques such as alternate light sources and powder method

2 views • 22 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

Exploratory Data Analysis (EDA) is a crucial approach for analyzing data by utilizing various techniques to extract insights, identify anomalies, and visualize trends. By leveraging EDA using tools like Pandas, researchers can improve their understanding of data variables, detect errors, and explore

2 views • 14 slides

Explore the world of research methodology with Dr. Unnikrishnan P.C., a Professor of Electrical and Electronics Engineering. Learn about the tools and techniques of data collection, different types of data, experiments, surveys, and the differences between survey and experiment data. Discover method

0 views • 34 slides

Employing techniques like PCA, tSNE, and UMAP allows for effective visualization and integration of multi-dimensional datasets. These methods help in reducing data complexity to reveal patterns and insights for further analysis. Gene expression data is used as an example to illustrate the principles

0 views • 43 slides

Sorting is the process of arranging elements in a specific order, be it ascending or descending, for efficient data access. This content covers internal and external sorting, types of sorting techniques like Bubble Sort and Quick Sort, factors influencing the selection of sorting techniques, efficie

7 views • 12 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

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

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

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

This seminar conducted at S.M. Patel College of Home Science focused on studying the awareness of garment recycling and techniques adopted by housewives from different socio-economic backgrounds. The study aimed to promote the reuse and reprocessing of textiles to reduce waste. Through data collecti

0 views • 22 slides

Anonymizing data is crucial to safeguard privacy, prevent data breaches, and enable sharing for various use cases, such as statistics, data science, and data release. Techniques like K-anonymity aim to protect individual identities by grouping data into subsets with shared characteristics. However,

0 views • 24 slides

This lecture covers various aspects of obtaining and parsing data, including methods for extracting web content, basic PANDAS commands for data storage and exploration, and the use of libraries like Requests, BeautifulSoup, and PANDAS. The Data Science Process is highlighted, emphasizing the importa

0 views • 42 slides

A data ecosystem encompasses infrastructure, analytics, and data analysis, fostering partnerships and coordination to leverage the power of data. This ecosystem, driven by Big Data technologies and deep analytical talent, aims to address complex business challenges and drive innovation. The integrat

0 views • 5 slides

Learn about the roles of Data Protection Officers (DPOs), the Data Protection Act (DPA) of 2004, key elements of the act, definitions of personal data, examples of personal data categories, and sensitive personal data classifications. Explore how the DPO enforces privacy rights and safeguards person

0 views • 33 slides

This module delves into various types of data, the sensitivity of different data types, data access, legal aspects, and data classification. Explore aggregate data, microdata, methods of data collection, identifiable, pseudonymised, and anonymised data. Learn to differentiate between individual heal

0 views • 13 slides

Latent fingerprints are hidden impressions left by the friction ridges of the skin which require physical or chemical techniques for visualization. Factors affecting latent prints include surface type, touch manner, weather, humidity, perspiration, and suspect care. Techniques such as visual examina

0 views • 22 slides

Explore the latest research on data cleaning and integration techniques in the era of big data. Topics cover similarity joins, real-world data challenges, similarity functions, and applications in near-duplicate object detection and collaborative filtering. Learn about essential operations for data

0 views • 36 slides

Addressing the challenge of acquiring labelled data for NLP models, weak supervision techniques offer solutions through alternative annotation methods and leveraging diverse data sources. This talk highlights the importance of overcoming the scarcity of labelled data in machine learning and NLP task

0 views • 18 slides

This research focuses on transportation mode recognition and user identification by analyzing GPS and accelerometer data. The study involves data collection from varying conditions with over 500 trips and 150 hours of data, processed using spatio-temporal techniques. Features such as mean, deviation

0 views • 33 slides

Analytical techniques play a crucial role in determining the identification and concentration of chemical substances in pharmaceutical analysis. Techniques range from simple gravimetric analysis to sophisticated methods using specialized instrumentation. Various techniques like gravimetric, titrimet

0 views • 17 slides

This research focuses on enabling efficient and fast noncontiguous data movement between GPUs in hybrid MPI+GPU environments. The study explores techniques such as MPI-derived data types to facilitate noncontiguous message passing and improve communication performance in GPU-accelerated systems. By

0 views • 18 slides

Explore the fascinating world of optical microscopy in cellular biology, covering topics such as image formation, contrasting techniques, fluorescence microscopy, live-imaging techniques, and quantitative microscopy. Dive into the principles behind various microscopy techniques and experimental labs

0 views • 7 slides