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001484339 001__ 1484339
001484339 003__ OCoLC
001484339 005__ 20240117003321.0
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001484339 008__ 231127s2023\\\\caua\\\\ob\\\\001\0\eng\d
001484339 019__ $$a1410333080$$a1410334429
001484339 020__ $$a9781484296882$$qelectronic book
001484339 020__ $$a1484296885$$qelectronic book
001484339 020__ $$z9781484296875
001484339 020__ $$z1484296877
001484339 0247_ $$a10.1007/978-1-4842-9688-2$$2doi
001484339 035__ $$aSP(OCoLC)1410735764
001484339 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dYDX$$dOCLKB$$dEBLCP$$dYDX$$dORMDA
001484339 049__ $$aISEA
001484339 050_4 $$aQA76.585$$b.S85 2023
001484339 08204 $$a004.6782$$223/eng/20231127
001484339 1001_ $$aSukhdeve, Shitalkumar R.$$eauthor.
001484339 24510 $$aGoogle Cloud Platform for data science :$$ba crash course on big data, machine learning, and data analytics services /$$cShitalkumar R. Sukhdeve, Sandika S. Sukhdeve.
001484339 264_1 $$aBerkeley, CA :$$bApress,$$c[2023]
001484339 300__ $$a1 online resource (xix, 219 pages) :$$billustrations
001484339 336__ $$atext$$btxt$$2rdacontent
001484339 337__ $$acomputer$$bc$$2rdamedia
001484339 338__ $$aonline resource$$bcr$$2rdacarrier
001484339 504__ $$aIncludes bibliographical references and index.
001484339 5050_ $$aChapter 1: Introduction to GCP -- Chapter 2: Google Colaboratory -- Chapter 3: Big Data and Machine Learning -- Chapter 4: Data Visualization and Business Intelligence -- Chapter 5: Data Processing and Transformation -- Chapter 6: Data Analytics and Storage -- Chapter 7: Advanced Topics.
001484339 506__ $$aAccess limited to authorized users.
001484339 520__ $$aThis book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform. Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL. What You Will Learn Set up a GCP account and project Explore BigQuery and its use cases, including machine learning Understand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning models Explore Google Cloud Dataproc and its use cases for big data processing Create and share data visualizations and reports with Looker Data Studio Explore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud Dataflow Explore Google Cloud Storage and its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming.
001484339 588__ $$aDescription based on online resource; title from digital title page (viewed on November 30, 2023).
001484339 650_6 $$aInfonuagique.
001484339 650_0 $$aCloud computing.$$0(DLC)sh2008004883
001484339 655_0 $$aElectronic books.
001484339 7001_ $$aSukhdeve, Sandika S.$$eauthor.
001484339 77608 $$iPrint version:$$z1484296877$$z9781484296875$$w(OCoLC)1387008617
001484339 852__ $$bebk
001484339 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9688-2$$zOnline Access$$91397441.1
001484339 909CO $$ooai:library.usi.edu:1484339$$pGLOBAL_SET
001484339 980__ $$aBIB
001484339 980__ $$aEBOOK
001484339 982__ $$aEbook
001484339 983__ $$aOnline
001484339 994__ $$a92$$bISE