001437868 000__ 03994cam\a2200613\i\4500
001437868 001__ 1437868
001437868 003__ OCoLC
001437868 005__ 20230309004236.0
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001437868 008__ 210702s2021\\\\caua\\\\ob\\\\001\0\eng\d
001437868 019__ $$a1260343408$$a1266810201
001437868 020__ $$a9781484268254$$q(electronic bk.)
001437868 020__ $$a1484268253$$q(electronic bk.)
001437868 020__ $$z9781484268247
001437868 020__ $$z1484268245
001437868 0247_ $$a10.1007/978-1-4842-6825-4$$2doi
001437868 035__ $$aSP(OCoLC)1258674284
001437868 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dDCT$$dN$T$$dUKAHL$$dTXI$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437868 049__ $$aISEA
001437868 050_4 $$aQA76.8.R15$$bK33 2021
001437868 08204 $$a005.13/3$$223
001437868 1001_ $$aKadhar, K. Mohaideen Abdul,$$eauthor.
001437868 24510 $$aData science with Raspberry Pi :$$breal-time applications using a localized cloud /$$cK. Mohaideen Abdul Kadhar, G. Anand.
001437868 264_1 $$a[Berkeley] :$$bApress,$$c[2021]
001437868 264_4 $$c©2021
001437868 300__ $$a1 online resource :$$billustrations
001437868 336__ $$atext$$btxt$$2rdacontent
001437868 337__ $$acomputer$$bc$$2rdamedia
001437868 338__ $$aonline resource$$bcr$$2rdacarrier
001437868 347__ $$atext file
001437868 347__ $$bPDF
001437868 504__ $$aIncludes bibliographical references and index.
001437868 5050_ $$aChapter 1: Introduction to Data Science -- Chapter 2: Basics of Python Programming -- Chapter 3: Introduction to Raspberry Pi -- Chapter 4: Sensors and Signals -- Chapter 5: Preparing the Data -- Chapter 6: Visualizing the Data -- Chapter 7: Analysing the Data -- Chapter 8: Learning From Data -- Chapter 9: Case Studies.
001437868 506__ $$aAccess limited to authorized users.
001437868 520__ $$aImplement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now dependent upon cloud computing. As Raspberry Pis are cheap, it is easy to use a number of them closer to the sensors gathering the data and restrict the analytics closer to the edge. You'll find that not only is the Pi an easy entry point to data science, it also provides an elegant solution to cloud computing limitations through localized deployment. You will: Interface the Raspberry Pi with sensors Set up the Raspberry Pi as a localized cloud Tackle data science concepts with Python on the Pi.
001437868 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 22, 2021).
001437868 650_0 $$aRaspberry Pi (Computer)
001437868 650_0 $$aComputer programming.
001437868 650_0 $$aPython (Computer program language)
001437868 650_0 $$aCloud computing.
001437868 650_6 $$aRaspberry Pi (Ordinateur)
001437868 650_6 $$aProgrammation (Informatique)
001437868 650_6 $$aPython (Langage de programmation)
001437868 650_6 $$aInfonuagique.
001437868 655_0 $$aElectronic books.
001437868 7001_ $$aAnand, G.$$c(Computer programmer),$$eauthor.
001437868 77608 $$iPrint version:$$z1484268245$$z9781484268247$$w(OCoLC)1224516871
001437868 852__ $$bebk
001437868 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-6825-4$$zOnline Access$$91397441.1
001437868 909CO $$ooai:library.usi.edu:1437868$$pGLOBAL_SET
001437868 980__ $$aBIB
001437868 980__ $$aEBOOK
001437868 982__ $$aEbook
001437868 983__ $$aOnline
001437868 994__ $$a92$$bISE