LEADER 00994nam0-22003251i-450- 001 990003011710403321 035 $a000301171 035 $aFED01000301171 035 $a(Aleph)000301171FED01 035 $a000301171 100 $a20000920d1962----km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $aApplications of Methods of Evaluation$eFour Studies of the Encampment for Citizenship$fBy Herbert H. Hyman, Charles R. Wright, Terence K. Hopkins. 210 $aBerkeley$cUniversity of California Press$d1962. 215 $aXIII, 396 p.$d23 cm 676 $a10320 676 $a11130 676 $a11210 702 1$aHopkins,$bTerence K. 702 1$aHyman,$bHerbert Hiram$f<1918- > 702 1$aWright,$bCharles Robert$f<1927- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003011710403321 952 $a10320 HYM$b030102$fSES 959 $aSES 996 $aApplications of Methods of Evaluation$9467960 997 $aUNINA DB $aING01 LEADER 03573nam 22006375 450 001 9910300760303321 005 20260630163657.0 010 $a9781484234501 010 $a1484234502 024 7 $a10.1007/978-1-4842-3450-1 035 $a(CKB)4100000002891930 035 $a(MiAaPQ)EBC5398751 035 $a(DE-He213)978-1-4842-3450-1 035 $a(CaSebORM)9781484234501 035 $a(PPN)225554070 035 $a(OCoLC)1031706583 035 $a(OCoLC)on1031706583 035 $a(EXLCZ)994100000002891930 100 $a20180329d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Data Analytics Using Python $eWith Machine Learning, Deep Learning and NLP Examples /$fby Sayan Mukhopadhyay 205 $a1?. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (195 pages) 300 $aIncludes index. 311 08$a9781484234495 311 08$a1484234499 327 $aChapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies. 330 $aGain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You?ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You?ll get to know the concepts using Python code, giving you samples to use in your own projects. You will: Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP. 606 $aPython (Computer program language) 606 $aBig data 606 $aOpen source software 606 $aComputer programming 606 $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 615 0$aPython (Computer program language) 615 0$aBig data. 615 0$aOpen source software. 615 0$aComputer programming. 615 14$aPython. 615 24$aBig Data. 615 24$aOpen Source. 676 $a005.133 700 $aMukhopadhyay$4aut$4http://id.loc.gov/vocabulary/relators/aut$01927698 701 $a Sayan.$02013083 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300760303321 996 $aAdvanced Data Analytics Using Python$94805212 997 $aUNINA