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Building pipelines for natural language understanding with Spark : a hands-on guide to machine learning annotators, topic modeling, and deep learning for text mining /
"The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stor...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2016]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 001 | OR_ocn970351886 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 008 | 170126s2016 xx 093 o vleng d | ||
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| 035 | |a (OCoLC)970351886 | ||
| 037 | |a CL0500000822 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.N38 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Talby, David, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Building pipelines for natural language understanding with Spark : |b a hands-on guide to machine learning annotators, topic modeling, and deep learning for text mining / |c with David Talby & Alex Thomas. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (1 streaming video file (1 hr., 32 min., 57 sec.)) : |b digital, sound, color | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 511 | 0 | |a Presenters, David Talby, Alex Thomas. | |
| 500 | |a Title from title screen (viewed January 25, 2017). | ||
| 520 | |a "The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2. Machine Learning Applications for Statistical Natural Language Understanding at Scale3. Topic Modeling on Natural Language with Scala, Spark and MLLib4. Deep Learning Applications for Natural Language Understanding with Scala, Spark and MLLibYou will learn how use Apache Spark to process text with annotations, use machine learning with your annotations, create and use topic models, create and use a word2vec model."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
| 630 | 0 | 7 | |a Spark (Electronic resource : Apache Software Foundation) |2 fast |0 (OCoLC)fst01938143 |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Electronic data processing |x Distributed processing. |2 fast |0 (OCoLC)fst00906987 | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast |0 (OCoLC)fst01034365 | |
| 700 | 1 | |a Thomas, Alex, |e on-screen presenter. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491978139/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||