77 rezultatov
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Fundamentals of Data Engineering(2022) REIS, JOEWith this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.Vezava: Mehka vezava82,08 € -
Spark - The Definitive Guide(2018) CHAMBERS, BILL,ZAHARIA, MATEILearn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei ZahaVezava: Mehka71,82 € -
Data Analytics & Visualization All-in-One For Dummies(2024) HYMAN, JACK A.,MASSARON, LUCA,MCFEDRIES, PAUL,MUELLER, JOHN PAUL,REICHENTAL, JONATHAN,SCHMULLER, JOSEPH,SIMON, ALAN R. (THINKING HELMET, INC.),TAYLOR, ALLEN G. (DATABASE CONSULTANT, OREGON CITY, OREGON)Vezava: Mehka52,79 € -
Mathematical Methods in Data Science(2023) REN, JINGLI (PROFESSOR, ZHENGZHOU UNIVERSITY, CHINA),WANG, HAIYAN (ARIZONA STATE UNIVERSITY, USA)Vezava: Mehka213,61 € -
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Statistics and Data Analysis for Microarrays Using R and Bioconductor(2011) DRAGHICI, SORINRichly illustrated in color, this bestselling text provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notatioVezava: Trda152,78 € -
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Practical AI for Business Leaders, Product Managers, and Entrepreneurs(2022) ESSA, ALFRED,MOJARAD, SHIRINVezava: Mehka67,53 € -
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Big Data Analytics and Intelligence(2020)Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.Vezava: Trda73,53 € -
Data Science and Analytics(2020)Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better manaVezava: Trda123,81 € -
Mindf*ck(2020) WYLIE, CHRISTOPHERFrom whistleblower Christopher Wylie, the definitive story of the Brexit coup, the making of Bannon's America, and an ongoing crime against democracy.Vezava: Mehka16,66 € -
Tidy Modeling with R(2022) KUHN, MAX,SILGE, JULIAGet going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists hoVezava: Mehka67,97 € -
Self-Service Data Roadmap(2020) UTTAMCHANDANI, SANDEEPData-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-servVezava: Mehka67,97 € -
Machine Learning Pocket Reference(2019) HARRISON, MATTWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient reVezava: Mehka33,34 € -
Fundamentals of Data Visualization(2019) WILKE, CLAUS OThis practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.Vezava: Mehka82,08 € -
Think Stats 2e(2014) DOWNEY, ALLENIf you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs writVezava: Mehka38,90 €
