LEADER 01432nam 2200349 n 450 001 996392183403316 005 20221108035318.0 035 $a(CKB)1000000000675975 035 $a(EEBO)2240870187 035 $a(UnM)99842665 035 $a(EXLCZ)991000000000675975 100 $a19910517d1629 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aBabel no Bethel. That is, the Church of Rome no true visible Church of Christ$b[electronic resource] $eIn answer to Hugh Cholmley's challenge, and Rob: Butterfields Maschil, two masculine champions for the synagogue of Rome. By H.B. rector of St. Mathews Friday-street 210 $a[London] $cPrinted [by Bernard Alsop and Thomas Fawcet] for M[ichael] S[parke]$d1629 215 $a[24], 131, [3] p 300 $aH.B. = Henry Burton. 300 $aA reply to "The state of the now-Romane Church" by Hugh Cholmley and "Maschil" by Robert Butterfield. 300 $aPrinters' and publisher's names from STC. 300 $aWith a final errata leaf. 300 $aReproduction of the original in Cambridge University Library. 330 $aeebo-0021 700 $aBurton$b Henry$f1578-1648.$01002692 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996392183403316 996 $aBabel no Bethel. That is, the Church of Rome no true visible Church of Christ$92328024 997 $aUNISA LEADER 04002nam 2200481 450 001 9910819363203321 005 20160715075636.0 010 $a1-78588-526-X 035 $a(CKB)3710000000742434 035 $a(MiAaPQ)EBC4594302 035 $a(CaSebORM)9781785880889 035 $a(PPN)220200424 035 $a(EXLCZ)993710000000742434 100 $a20170306d2016 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMastering Scala machine learning $eadvance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop /$fAlex Kozlov 205 $a1st edition 210 1$aBirmingham :$cPackt Publishing,$d2016. 215 $a1 online resource (310 pages) $ccolor illustrations 225 1 $aCommunity experience distilled 300 $aIncludes index. 311 $a1-78588-088-8 330 $aAdvance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability Who This Book Is For Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required. What You Will Learn Sharpen your functional programming skills in Scala using REPL Apply standard and advanced machine learning techniques using Scala Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex... 410 0$aCommunity experience distilled. 606 $aScala (Computer program language) 606 $aMachine learning 606 $aElectronic data processing 615 0$aScala (Computer program language) 615 0$aMachine learning. 615 0$aElectronic data processing. 676 $a006.31 700 $aKozlov$b Alex$01624850 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819363203321 996 $aMastering Scala machine learning$93960050 997 $aUNINA