Data-Centric Artificial Intelligence for Multidisciplinary Applications

By: Parikshit N Mahalle (Editor), Namrata Nishant Wasatkar (Editor), Gitanjali R. Shinde (Editor)

Write A Review

eBook | 6 June 2024 | Edition Number 1

At a Glance

Format
ePUB

eBook

$94.99

or 4 interest-free payments of $23.75 with

Instant Digital Delivery to your Booktopia Reader App

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. It examines the methodologies for data-centric approaches, the use of data-centric approaches in different domains, the need for edge AI and how it differs from cloud-based AI. It discusses the new category of AI technology, "data-centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data-centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.

• Includes a collection of case studies with experimentation results to adhere to the practical approaches

• Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways

• Discusses methodologies to achieve accurate results by improving the quality of data

• Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications

on

You Can Find This eBook In

Non-Fiction Computing & I.T.Databases Data Mining Data Warehousing Database Software Information Technology General Issue Legal Aspects of IT Engineering & Technology Environmental Science Electronics & Communications Engineering Electronics Engineering

Automatic Control Engineering Medicine Medicine in General Computer Science Artificial Intelligence Nursing & Ancillary Services Biomedical Engineering

Data-Centric Artificial Intelligence for Multidisciplinary Applications

At a Glance

eBook

on

You Can Find This eBook In

More in Data Warehousing

Data Engineering with Databricks Cookbook

Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Recommender Systems

Frontiers and Practices

Technologies and Applications of Artificial Intelligence

28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II

Python Data Cleaning Cookbook

Detect and remove dirty data and extract key insights with pandas, OpenAI, Spark, and more

Databricks Certified Associate Developer for Apache Spark Using Python

The ultimate guide to getting certified in Apache Spark using practical examples with Python

Data Governance Handbook

A practical approach to building trust in data

The Ultimate Guide to Snowpark

Design and deploy Snowpark with Python for efficient data workloads

Health Information Processing. Evaluation Track Papers

8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers

Health Information Processing. Evaluation Track Papers

9th China Conference, CHIP 2023, Hangzhou, China, October 27-29, 2023, Proceedings

Hacks, Leaks, and Revelations

The Art of Analyzing Hacked and Leaked Data

Database Design and Modeling with PostgreSQL and MySQL

Build efficient and scalable databases for modern applications using open source databases

Big Data on Kubernetes

A practical guide to building efficient and scalable data solutions

Managing Data as a Product

A comprehensive guide to designing and building data product-centered socio-technical architectures

Data Quality in the Age of AI

Building a foundation for AI strategy and data culture

The Definitive Guide to Data Integration

Unlock the power of data integration to efficiently manage, transform, and analyze data

Engineering Data Mesh in Azure Cloud

Implement data mesh using Microsoft Azure's Cloud Adoption Framework

Technologies and Applications of Artificial Intelligence

28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part I

Data Modeling with Microsoft Power BI

Databases

System Concepts, Designs, Management, and Implementation

Computer Science

Learn about Algorithms, Cybersecurity, Databases, Operating Systems, and Web Design

Data as a Product

Leveraging Data as a Marketable Product

Statistical Analysis for Beginners

Comprehensive Introduction

Time Series Analysis for Beginners

Comprehensive Introduction

Exploratory Data Analysis

Uncovering Insights from Your Data

This product is categorised by