Cargando…
Data science on the Google cloud platform : implementing end-to-end real-time data pipelines: from ingest to machine learning /
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
2018.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1015372122 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 171215s2018 caua o 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d TEFOD |d OCLCF |d UMI |d MERER |d STF |d CNO |d IDEBK |d OCLCQ |d TOH |d NRC |d HCO |d CEF |d KSU |d YDX |d MNW |d DEBBG |d G3B |d S9I |d UAB |d UKAHL |d VT2 |d OCLCQ |d OCLCO |d AAA |d OCLCQ | ||
| 015 | |a GBB7B3690 |2 bnb | ||
| 016 | 7 | |a 018408167 |2 Uk | |
| 019 | |a 1017738621 |a 1047786091 |a 1122596262 |a 1152980872 |a 1192328921 |a 1240520819 | ||
| 020 | |a 9781491974537 |q (electronic bk.) | ||
| 020 | |a 1491974532 |q (electronic bk.) | ||
| 020 | |a 9781491974513 |q (electronic bk.) | ||
| 020 | |a 1491974516 |q (electronic bk.) | ||
| 020 | |z 9781491974568 | ||
| 020 | |z 1491974567 | ||
| 029 | 1 | |a AU@ |b 000066231455 | |
| 029 | 1 | |a GBVCP |b 1014936551 | |
| 035 | |a (OCoLC)1015372122 |z (OCoLC)1017738621 |z (OCoLC)1047786091 |z (OCoLC)1122596262 |z (OCoLC)1152980872 |z (OCoLC)1192328921 |z (OCoLC)1240520819 | ||
| 037 | |a 66F6568C-292B-4738-BB9D-0BFCB109A75B |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 050 | 4 | |a QA76.54 |b .L35 2018eb | |
| 072 | 7 | |a COM |x 013000 |2 bisacsh | |
| 072 | 7 | |a COM |x 014000 |2 bisacsh | |
| 072 | 7 | |a COM |x 018000 |2 bisacsh | |
| 072 | 7 | |a COM |x 067000 |2 bisacsh | |
| 072 | 7 | |a COM |x 032000 |2 bisacsh | |
| 072 | 7 | |a COM |x 037000 |2 bisacsh | |
| 072 | 7 | |a COM |x 052000 |2 bisacsh | |
| 082 | 0 | 4 | |a 004.33 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Lakshmanan, Valliappa, |e author. | |
| 245 | 1 | 0 | |a Data science on the Google cloud platform : |b implementing end-to-end real-time data pipelines: from ingest to machine learning / |c Valliappa Lakshmanan. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c 2018. | |
| 300 | |a 1 online resource (xiv, 393 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed December 20, 2017). | |
| 520 | |a Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Over the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: automate and schedule data ingest using an App Engine application, create and populate a dashboard in Google Data Studio, build a real-time analysis pipeline to carry out streaming analytics, conduct interactive data exploration with Google BigQuery, create a Bayesian model on a Cloud Dataproc cluster, build a logistic regression machine learning model with Spark, compute time-aggregate features with a Cloud Dataflow pipeline, create a high-performing prediction model with TensorFlow, use your deployed model as a microservice you can access from both batch and real-time pipelines. | ||
| 505 | 0 | |a Making better decisions based on data -- Ingesting data into the cloud -- Creating compelling dashboards -- Streaming data: publication and ingest -- Interactive data exploration -- Bayes classifier on cloud dataproc -- Machine learning: logistic regression on Spark -- Time-windowed aggregate features -- Machine learning classifier using TensorFlow -- Real-time machine learning. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 610 | 2 | 0 | |a Google (Firm) |
| 610 | 2 | 7 | |a Google (Firm) |2 fast |0 (OCoLC)fst00759798 |
| 650 | 0 | |a Real-time data processing. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Computing platforms. | |
| 650 | 6 | |a Temps réel (Informatique) | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 6 | |a Plateformes (Informatique) | |
| 650 | 7 | |a COMPUTERS |x Computer Literacy. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Computer Science. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Hardware |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Information Technology. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Reference. |2 bisacsh | |
| 650 | 7 | |a Cloud computing. |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Computing platforms. |2 fast |0 (OCoLC)fst01893329 | |
| 650 | 7 | |a Real-time data processing. |2 fast |0 (OCoLC)fst01091219 | |
| 776 | 0 | 8 | |i Print version: |a Lakshmanan, Valliappa. |t Data science on the Google cloud platform. |b First edition. |d Sebastopol, CA : O'Reilly Media, 2018 |z 1491974567 |z 9781491974568 |w (OCoLC)966394369 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781491974551/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH33867960 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH33757057 | ||
| 938 | |a EBSCOhost |b EBSC |n 1655721 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis39717722 | ||
| 938 | |a YBP Library Services |b YANK |n 15043843 | ||
| 994 | |a 92 |b IZTAP | ||