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おすすめ

MCA Microsoft Certified Associate Azure Data Engineer Study Guide

Exam DP-203

− Benjamin Perkins ...

シリーズ本: 203 - Sybex Study Guide
Prepare for the Azure Data Engineering certification—and an exciting new career in analytics—with this must-have study aideIn the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in ... もっと見る

8,013 円

Prepare for the Azure Data Engineering certification—and an exciting new career in analytics—with this must-have study aideIn the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in
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Learn Power BI

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Solve business challenges with Microsoft Power BI\\'s advanced visualization and data analysis techniquesKey FeaturesCreate effective storytelling reports by implementing simple-to-intermediate Power BI featuresDevelop powerful analytical models to extract key insights for changing business needsBuild, publish, and share impressive dashboards for your organizationBook DescriptionTo succeed in ... もっと見る

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Inside Data Science

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Data scientists appeared suddenly in the early 2010s and quickly became ubiquitous. Institutions, from established corporations to start-ups, universities to government agencies, scrambled to recruit specialists. Somehow, a loose band of computer experts and hackers integrated established technologies and methodologies—and some questionable ideas—into a distinct profession. Where did data science ... もっと見る

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Apache Iceberg: The Definitive Guide

Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

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Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way ... もっと見る

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Exploring Deepfakes

Deploy powerful AI techniques for face replacement and more with this comprehensive guide

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Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesUnderstand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of ... もっと見る

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Extreme DAX

Take your Power BI and Microsoft data analytics skills to the next level

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Discover the true power of DAX and build advanced DAX solutions for practical business scenariosKey FeaturesSolve complex business problems within Microsoft BI tools including Power BI, SQL Server, and ExcelDevelop a conceptual understanding of critical business data modeling principlesLearn the subtleties of Power BI data visualizations, evaluation context, context transition, and filteringBook ... もっと見る

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Data-Driven Innovation for Intelligent Technology

Perspectives and Applications in ICT

編集 Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor ...

シリーズ series Intelligent Technologies and Robotics (R0)
This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value.It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It ... もっと見る

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Ranking

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− Péter Érdi ...

Human beings are competitive. We want to know who is the strongest, who is the richest, and who is the cleverest of all. Some situations, like ranking people based on height, can be ranked in objective ways. However, many "Top Ten" lists are based on subjective categorization and give only the illusion of objectivity. In fact, we don't always want to be seen objectively since we don't mind having ... もっと見る

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Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention

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☆★The Best Neural Networks Book for Beginners★☆If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading.Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and ... もっと見る

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Principles of Data Science

A beginner's guide to essential math and coding skills for data fluency and machine learning

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Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills ... もっと見る

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Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills
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Python Machine Learning Cookbook

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This book is your guide to exploring the possibilities in the field of deep learning, making use of Google\\'s TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data.Key Features\[\*\] Explore various possibilities with deep learning and gain amazing insights from data using Google’s
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Data as a Service

A Framework for Providing Reusable Enterprise Data Services

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What's the Question?

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− David J. Hand ...

シリーズ series Chapman & Hall/CRC Data Science Series
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− Stephen Klosterman ...

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The Data Hero Playbook

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− Malcolm Hawker ...

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R for Non-Programmers

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Serverless ETL and Analytics with AWS Glue

Your comprehensive reference guide to learning about AWS Glue and its features

− Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur ...

Build efficient data lakes that can scale to virtually unlimited size using AWS GlueKey FeaturesBook DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world ... もっと見る

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JMP Connections

The Art of Utilizing Connections In Your Data

− John Wubbel ...

シリーズ series Wiley and SAS Business Series
Achieve best-in-class metrics and get more from your data with JMPJMP Connections is the small- and medium-sized business owner's guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You'll discover how to wring every last drop of insight out of ... もっと見る

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Заставьте данные говорить: Как сделать бизнес-дашборд в Excel. Руководство по визуализации данных

− Алексей Колоколов ...

Собрать разрозненные данные для отчета и представить их наглядно не самая простая задача для заказчика. Об этом хорошо знает Алексей Колоколов, который обучает анализу и визуализации данных с 2015 года. Он написал подробное руководство по созданию дашбордов и посвятил большую его часть практике. Колоколов последовательно разбирает процесс составления отчета, начиная с подготовки данных и ... もっと見る

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Smart Technologies for an All-Electric Society

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編集 Michael E. Auer, Reinhard Langmann, Dominik May, Manuel Morales ...

シリーズ series Springer Nature Proceedings excluding Computer Science
The International Conference on Smart Technologies & Education (STE) brings together a global community of researchers, educators, and innovators at the intersection of emerging technologies and engineering education. The 2025 edition, held in Santiago, Chile, marked a milestone as the conference’s first presence in Latin America—a region rapidly advancing in digital transformation and ... もっと見る

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The International Conference on Smart Technologies & Education (STE) brings together a global community of researchers, educators, and innovators at the intersection of emerging technologies and engineering education. The 2025 edition, held in Santiago, Chile, marked a milestone as the conference’s first presence in Latin America—a region rapidly advancing in digital transformation and
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The Competition Between Overt Suffixation and Zero-Affixation in Present-Day English Nominalisation

− Cristina Lara-Clares ...

シリーズ本: 25 - Hallesche Sprach- und Textforschung / Language and Text Studies / Recherches linguistiques et textuelles
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10,090 円

In linguistic morphology, competition is expected to be resolved, on the grounds that it is not economical for a system to keep two or more processes for one purpose. This volume researches overt suffixation and zero‑affixation for the nominalisation of the semantic categories action, agentive, instrument and state aiming at hints of resolution, diachronically and in present‑day English, using
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Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

− Jan Treur ...

シリーズ series Engineering (R0)
This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to ... もっと見る

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This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to
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おすすめ

データ処理電子書籍

MCA Microsoft Certified Associate Azure Data Engineer Study Guide

Learn Power BI

Inside Data Science

Apache Iceberg: The Definitive Guide

Exploring Deepfakes

Extreme DAX

Data-Driven Innovation for Intelligent Technology

Ranking

Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention

Principles of Data Science

Python Machine Learning Cookbook

Learning Jupyter

Hands-On Deep Learning with TensorFlow

Data as a Service

What's the Question?

Data Science Projects with Python

The Data Hero Playbook

R for Non-Programmers

Serverless ETL and Analytics with AWS Glue

JMP Connections

Заставьте данные говорить: Как сделать бизнес-дашборд в Excel. Руководство по визуализации данных

Smart Technologies for an All-Electric Society

The Competition Between Overt Suffixation and Zero-Affixation in Present-Day English Nominalisation

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

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データ処理 電子書籍

データ処理電子書籍