Statistics And Data Science – alle Bücher, Seite 4

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Dayne Sorvisto
Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure

Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python,…

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Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics

This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and…

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Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment

Offering a comprehensive exploration, this book navigates through foundational concepts to advanced applications, providing readers with a holistic understanding of how these domains intersect to create i…

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Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment

This book explores the integration of AI, data science, and emerging technologies to create innovative, practical solutions for smart environments. This book offers a comprehensive framework that combines…

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William Gleitsmann
Statistics of Mortality From Pulmonary Phthisis in the United States and in Europe. Compiled From Official Health Reports and From Data Obtained From Life Insurance Companies

Reprint of the original, first published in 1875. The Antigonos publishing house specialises in the publication of reprints of historical books. We make sure that these works are made available to the pub…

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Katarzyna Kopczewska
Modelling Spatial Density

Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessib…

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John Lidwell-Durnin
Explaining Famine in the British Empire

Famine is humanity's oldest fear. Famine memorials and stories are literally carved into the stones that lie on the beds of Europe's rivers. Our science fiction and fantasy literature often begin by evoki…

lieferbar ab 12.5.2026.

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Division of Behavioral and Social Sciences and Education
Cybercrime Classification and Measurement

Cybercrime poses serious threats and financial costs to individuals and businesses in the United States and worldwide. Reports of data breaches and ransomware attacks on governments and businesses have be…

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Sandra Matz
Mindmasters

A fascinating exploration of how algorithms penetrate the most intimate aspects of our psychology--from the pioneering expert on psychological targeting.There are more pieces of digital data than there ar…

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Mark Prell
What Are the Odds?

From bar bets to Nobel Prizes, viral outbreaks to lottery wins, how statistics shapes our choices, reveals hidden truths, and guides us toward certainty in uncertain times.We live in an uncertain world. M…

lieferbar ab 14.4.2026.

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Networks and Sustainability

This book explores advanced networking topics, building on previous Springer books like "Intent-based Networking" (2022), "Emerging Networking in the Digital Transformation Age" (2023)…

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Josh Pitts, Sucharita Gopal
The FinTech Revolution

In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability. This book invites readers to the forefront of a r…

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David Asboth
The Well-Grounded Data Analyst

From the back cover:The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model …

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science.In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming…

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N Thompson Hobbs, Mevin B Hooten
Bayesian Models

"A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become …

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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, …

lieferbar ab 11.5.2026.

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Lillian Pierson
Data Science Essentials for Dummies

The pocket-sized guide to data scienceYou've just picked up a concise little book that covers all the fundamentals of data science. Data Science Essentials For Dummies distills everything you need to know…

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Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
Ai-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

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