Data Mining And Machine Learning – alle Bücher, LPs und CDs, Seite 9

Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severin…

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

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Eric Gaze, McKenzie Lamb
Data Analytics Toolkit

Expand your data analysis toolkit with Python, R, and TableauData Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, …

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Susan Walsh
Optimizing Sales and Marketing Data

Data quality issues are an ever-growing problem for sales and marketing. Professionals in these sectors are expected to understand, clean and categorize data, though they may not always be data profession…

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Mouse On Mars

AAI (Limited Edition) (Grey Vinyl)

Mouse on Mars, the Berlin-based duo of Jan St. Werner and Andi Toma, approach electronic music with an inexhaustible curiosity and unparalleled ingenuity. Operating in their unique orbit within dance mu…

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2 LPs

Arek Borucki
MongoDB in Action, Third Edition

Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform.In MongoDB 8.0 in Action, Thi…

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Build a Machine Learning Platform (from Scratch)

Get your machine learning models out of the lab and into production!Delivering a successful machine learning project is hard. Build a Machine Learning Platform (From Scratch) makes it easier. In it, you'l…

lieferbar ab 25.11.2025.

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Kwang Hun Kim, Ju Song Kim, Song Il Ri
Application of data decomposition and deep learning technique

Water pollution is one of the most serious environmental problems worldwide. Accurate forecast of water quality is of great importance since it can provide useful information for the managers to minimize …

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Chad Sanderson, Mark Freeman, B E Schmidt
Data Contracts

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams st…

lieferbar ab 30.12.2025.

Buch

Intelligent Data Engineering and Automated Learning - IDEAL 2024

This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain…

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Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Knowledge Graphs and Llms in Action

Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provid…

lieferbar ab 28.10.2025.

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Ashish Ranjan Jha
Fight Fraud with Machine Learning

Fight Fraud with Machine Learning teaches you to build and deploy state-of-the-art fraud detection systems.Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital tra…

lieferbar ab 25.11.2025.

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Shirui Wang, Jiefu Chen, Xuqing Wu, Wenyi Hu
Deep Learning for Seismic Data Enhancement and Representation

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns v…

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Brent Laster
Learning GitHub Copilot

Supercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating…

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Intelligent Data Engineering and Automated Learning - IDEAL 2024

This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain…

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Buch

Edward Raff, Drew Farris, Stella Biderman
How Large Language Models Work

Learn how large language models like GPT and Gemini work under the hood in plain English.How Large Language Models Work translates years of expert research on Large Language Models into a readable, focuse…

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Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

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Suhas Pai
Designing Large Language Model Applications

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged app…

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Tomaz Bratanic, Oscar Hane
Essential Graphrag

Upgrade your RAG applications with the power of knowledge graphs.Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM's training…

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