65 rezultatov
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Corpus Stylistics(2019) MCINTYRE, DAN (PROFESSOR OF ENGLISH LANGUAGE AND LINGUISTICS, UNIVERSITY OF HUDDERSFIELD),WALKER, BRIAN (RESEARCH FELLOW, UNIVERSITY OF HUDDERSFIELD)This theoretical and practical guide to using corpus linguistic techniques in stylistic analysis focuses on how to use off-the-shelf corpus software, such as AntConc, Wmatrix, and the Brigham Young University (BYU) corpus interface.Vezava: Mehka46,32 € -
Agent-Based and Individual-Based Modeling - A Practical Introduction, Second Edition(2019) STEVEN F. RAILSBACKVezava: Trda92,22 € -
Analyzing Data with Power BI and Power Pivot for Excel(2017) FERRARI, ALBERTO,RUSSO, MARCOVezava: Mehka40,64 € -
Sentiment Analysis(2020) LIU, BING (UNIVERSITY OF ILLINOIS, CHICAGO)Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciencVezava: Trda117,24 € -
Data Science on the Google Cloud Platform(2022) LAKSHMANAN, VALLIAPPAThis hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of dataVezava: Mehka82,59 € -
Data Quality Fundamentals(2022) MOSES, BARR,GAVISH, LIOR,VORWERCK, MOLLYDo your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you ansVezava: Mehka68,39 € -
Snowflake - The Definitive Guide(2022) AVILA, JOYCE KAYSnowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users within an organization to make data-driven decisions. This clear, comprehensive guide will show you hoVezava: Mehka82,59 € -
Python for Data Analysis 3e(2022) MCKINNEY, WESUpdated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively.Vezava: Mehka82,59 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patternVezava: Trda74,37 € -
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Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technolVezava: Mehka14,01 € -
Model-Based Clustering and Classification for Data Science(2019) BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictioVezava: Trda127,75 € -
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Building Real-Time Analytics Systems(2023) NEEDHAM, MARKWith this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changeVezava: Mehka68,39 € -
R for Data Science(2023) WICKHAM, HADLEY,CETINKAYA-RUNDEL, MINE,GROLEMUND, GARRETTIdeal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have nVezava: Mehka82,59 €
