Dakota Forest – Bücher, CDs, LPs und mehr, Seite 4

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Once Upon A Time In Hollywood

Am 15. August kommt der neue Film von Quentin Tarantino in die deutschen Kinos - »Once Upon A Time... In Hollywood« entführt den Zuschauer ins Hollywood des Jahres 1969, eine Zeit radikaler und grundlegen…

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Juan Francisco Santini, Flavia Sacco Capurro, Daniel Rogger, Timothy Lundy
Data for Better Governance

This report provides a conceptual framework to assess and provide guidance on the government analytics agenda in Latin America and the Caribbean, and how the region can harvest the benefits of GovTech inv…

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Grey Ballard, Tamara G Kolda
Tensor Decompositions for Data Science

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiq…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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Fortunato Pesarin, Luigi Salmaso
Permutation Tests for Complex Data

TIMELY UPDATE OF A POPULAR EDITION ON PERMUTATION TESTING WITH NUMEROUS CASE STUDIES INCLUDED THROUGHOUTThe newly revised and updated Second Edition of Permutation Tests for Complex Data describes permuta…

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Multimodal Data Fusion for Bioinformatics Artificial Intelligence

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and th…

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Andres Fortino
Data Analysis for Business Decisions

In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to…

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Haviv Moshe
Continuous Optimization For Data Science

The text is divided into three main parts: unconstrained optimization, constrained optimization, and linear programming. The first part addresses unconstrained optimization in single-variable and multivar…

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Erik Herman
Data Science for Decision Makers

Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increas…

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Ugur Küpper
Data-driven Model for Process Evaluation in Wire EDM

Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using r…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Charles Givre
Applied Data Science for Cybersecurity

Discover how to apply contemporary data science and machine learning to cybersecurityIn Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delive…

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Vasundra Srinivasan
Data Engineering for Multimodal AI

A shift is underway in how organizations approach data infrastructure for AI-driven transformation. As multimodal AI systems and applications become increasingly sophisticated and data hungry, data system…

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Challenges and Algorithms for Knowledge Discovery from Data

Arno Siebes graduated in Mathematics from Utrecht University in 1983. He joined CWI in Amsterdam in 1985, and obtained his Ph.D. in 1990 from Twente University. In 2000, he joined Utrecht University, wher…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024.The …

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Stergios Aidinlis
Big Data for the Public Good

Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This open access book looks at inter…

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Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Homomorphic Encryption for Data Science (HE4DS)

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The author…

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Data Analytics for Smart Robotics and Its Applications

Scalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System.- Face Mask Detection using Multimedia Data and Deep Learning Techniques.- Digital Twin Robots for Securing…

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Data Analytics for Decision Making towards Business Excellence

This edited volume collates discussions on latest challenges, opportunities, trends and practices applicable to two major business sectors -- retail and financial services -- and chapters are segregated a…

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