Data Mining And Big Data Analytics – alle Bücher, Seite 5

The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)

This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19¿21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timel…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages o…

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Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications

This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation an…

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Rimsha
The Power of Patterns: Unlocking the Potential of Big Data in Chemistry and Biology

"The Power of Patterns" dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be u…

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Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications

This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation an…

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Jack A Hyman
Microsoft Power Bi for Dummies

Make smarter business decisions with Microsoft PowerBIMicrosoft PowerBI For Dummies gives you the foundation you need to use this powerful software platform to manage your data and gather insight for maki…

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Wei-Meng Lee
DuckDB: Up and Running

>Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data anal…

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Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Machine Learning and Metaheuristic Computation

Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approachesFew areas of technology have greater potential to revolutionize the globe than artifi…

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Katherine Munro, Danko Nikolic, Stefan Papp, Wolfgang Weidinger
The Handbook of Data Science and AI

A comprehensive overview of the various fields of application of data science and artificial intelligence.Case studies from practice to make the described concepts tangible.Practical examples to help you …

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Nasir Salari
Advanced Marketing Analytics

Through theory and data-driven techniques this postgraduate textbook will help advanced students turn their marketing data into practical insights.

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Machine Learning for Data Science Handbook

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and…

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Marco Cremonini
Data Visualization in R and Python

Communicate the data that is powering our changing world with this essential textThe advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrell…

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Mark Needham, Michael Hunger, Michael Simons
Duckdb in Action

From the back coverDuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a…

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Leemay Nassery
Next-Level A/B Testing

The better tools you have in your experimentation toolkit, the better off teams will be shipping and evaluating new features on a product. Learn how to create robust A/B testing strategies that evolve wit…

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Serena H Huang
The Inclusion Equation

Praise for THE INCLUSION EQUATION"What sets this book apart is how Serena uses her deep expertise to weave together two critical yet often siloed areas-diversity, equity, and inclusion (DEI) and empl…

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Nicola Askham
Effective Data Governance

Use this step-by-step guide to prepare, design and implement a simplified data governance programme built to meet the needs of your organization.Prepare, design and implement a data governance framework t…

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Kinsey Li
People Analytics Explained

People Analytics Explained provides practical advice and a framework for early HR practitioners to excel in people analytics by leveraging their natural strengths and applying key technical concepts witho…

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Hiroshi Ishikawa
Hypothesis Generation and Interpretation

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discove…

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Joyce Kay Avila
Hands-On Salesforce Data Cloud

>>This book will help you:Develop a plan to execute a CDP project effectively and efficientlyConnect Data Cloud to external data sources and build out a Customer 360 Data ModelLeverage data sharing …

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