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010   $a9781484234501
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024 7 $a10.1007/978-1-4842-3450-1
035   $a(CKB)4100000002891930
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035   $a(CaSebORM)9781484234501
035   $a(PPN)225554070
035   $a(OCoLC)1031706583
035   $a(OCoLC)on1031706583
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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   $a1st ed. 2018.
210  1$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   $aMukhopadhyay$b Sayan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062767
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910300760303321
996   $aAdvanced Data Analytics Using Python$92982346
997   $aUNINA