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おすすめ

AI-Driven Data Engineering

Unleashing the Power of Data for the Future

− Chuck Sherman ...

シリーズ本: 1 - AI-Driven Data Engineering
In this age of data, where information is being generated at an unprecedented rate, the role of data engineering has become more critical than ever. Data engineers are the unsung heroes who work behind the scenes to ensure that data is collected, stored, transformed, and made accessible for analysis. However, with the advent of artificial intelligence (AI), the landscape of data engineering is ... もっと見る

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In this age of data, where information is being generated at an unprecedented rate, the role of data engineering has become more critical than ever. Data engineers are the unsung heroes who work behind the scenes to ensure that data is collected, stored, transformed, and made accessible for analysis. However, with the advent of artificial intelligence (AI), the landscape of data engineering is
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From Models to Decisions in Machine Learning with Python

From Models to Responsible Decision-Making

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What is the value of an accurate Machine Learning model if it leads to the wrong decision?Machine Learning identifies patterns, estimates probabilities, and generates predictions. But a model does not decide what should be done.Between prediction and action lie objectives, uncertainty, error costs, trade-offs, consequences, and responsibility.From Models to Decisions in Machine Learning with ... もっと見る

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Innovative Mobile and Internet Services in Ubiquitous Computing

Proceedings of the 19th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2025)

編集 Leonard Barolli, Hsing-Chung Chen, Kangbin Yim ...

シリーズ series Springer Nature Proceedings excluding Computer Science
This book provides latest research findings, methods and development techniques, challenges and solutions from both theoretical and practical perspectives related to Ubiquitous and Pervasive Computing (UPC) with an emphasis on innovative, mobile and internet services.With the proliferation of wireless technologies and electronic devices, there is a fast growing interest in UPC, which enables the ... もっと見る

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Delta Lake: The Definitive Guide

Modern Data Lakehouse Architectures with Data Lakes

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Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques.Authors Denny Lee, Tristen Wentling, Scott Haines, and Prashanth Babu (with contributions from Delta Lake ... もっと見る

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Data Literacy Fundamentals

Understanding the Power & Value of Data

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シリーズ本: 1 - The Data Literacy Series
The data revolution has transformed how we work, live, and make decisions-yet most of us never received the education we need to keep up. Data Literacy Fundamentals breaks down the barriers to understanding data, offering a clear, engaging guide to help anyone move from data anxiety to data confidence.This newly expanded second edition arrives at a critical moment, as artificial intelligence ... もっと見る

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Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... もっと見る

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シリーズ series HBR Insights Series
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Data Analytics with Python: Data Analytics in Python Using Pandas

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Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics and many other that will help you kick ... もっと見る

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− 株式会社富士通ラーニングメディア ...

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100 Facts About Artificial Intelligence

English to Spanish

− Science-Based Language Learning Lab ...

シリーズ series 100 Somethings Language Learning Series
Introduction to the 100 Somethings Language Learning SeriesWelcome to an innovative approach to language learning! This series of books is crafted to help you master a new language (Spanish) through engaging with topics that captivate your interest (Artificial Intelligence). Each book is centered around a theme–whether it's art, science, history, or another subject–and presents 100 carefully ... もっと見る

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Python: Advanced Predictive Analytics

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

− Ashish Kumar, Joseph Babcock ...

Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... もっと見る

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Data Management, Analytics and Innovation

Proceedings of ICDMAI 2025, Volume 1

編集 Saptarsi Goswami, Sajal Saha, Romit S Beed, Kanadpriya Basu ...

シリーズ series Springer Nature Proceedings excluding Computer Science
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17–19 January 2025 at St. ... もっと見る

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Essential Math for AI

Next-Level Mathematics for Efficient and Successful AI Systems

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Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine ... もっと見る

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翻訳 Renata Guerra ...

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Data Governance

Building a Foundation for Data Excellence

− Chuck Sherman ...

シリーズ本: 2 - Data as a Product
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The Scalable Systems Bible 5 in 1

Storage, Replication, Streaming, Consistency, and Observability in One Complete Reference

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Building Robust Data Systems for Modern Analytics and Insights

− Daniel Garfield ...

シリーズ本: 3 - Big Data as a Product 3 in 1
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Reliable Machine Learning

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The Python Workshop

Learn to code in Python and kickstart your career in software development or data science

− Andrew Bird, Graham Lee, Corey Wade, Dr. Lau Cher Han, Mario Corchero Jiménez ...

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine ... もっと見る

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Computergestuetzte Transkription arabisch-deutscher Gespraechsdaten

Ein methodischer Beitrag zur Untersuchung gedolmetschter Gespraeche

− Michael Schreiber, Rahaf Farag ...

シリーズ本: 75 - FTSK. Publikationen des Fachbereichs Translations-, Sprach- und Kulturwissenschaft der Johannes Gutenberg-Universitaet Mainz in Germersheim
Computergestützte Transkription empirischer Sprachdaten ist ein Grundinstrument verschiedener linguistischer Ansätze. Die schriftbasierte (orthografische) Rekonstruktion gesprochener Sprache stößt auf Hindernisse, wenn die Daten mehrsprachige, varietätenreiche und polydialektale Interaktionsprozesse dokumentieren. Dies gilt umso stärker, je unterschiedlicher die Schriftsysteme sind und je ... もっと見る

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AI Data Analytics

Analizzare testi, dati, immagini e suoni

− Immanuel Trummer ...

L’intelligenza artificiale generativa e i Large Language Model (LLM) come quelli di OpenAI, Anthropic, Hugging Face e Google permettono di interrogare, classificare e visualizzare grandi quantità di dati, anche complessi e non strutturati, usando il linguaggio naturale e stanno rivoluzionando metodi e strumenti per l’analisi dei dati. Questo manuale spiega come integrare questi strumenti nel ... もっと見る

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L’intelligenza artificiale generativa e i Large Language Model (LLM) come quelli di OpenAI, Anthropic, Hugging Face e Google permettono di interrogare, classificare e visualizzare grandi quantità di dati, anche complessi e non strutturati, usando il linguaggio naturale e stanno rivoluzionando metodi e strumenti per l’analisi dei dati. Questo manuale spiega come integrare questi strumenti nel
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Python: Advanced Predictive Analytics

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Mulheres invisíveis

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Reliable Machine Learning

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Computergestuetzte Transkription arabisch-deutscher Gespraechsdaten

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