Please use this identifier to cite or link to this item:
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Beysolow II, Taweh. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:17:22Z | - |
dc.date.available | 2020-05-17T08:17:22Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484237335 ; | en_US |
dc.identifier.isbn | 9781484237328 (print) ; | en_US |
dc.identifier.isbn | 9781484237342 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/477 | - |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | QA75.5-76.95 ; | en_US |
dc.description | Printed edition: ; 9781484237328. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | Printed edition: ; 9781484237342. ; | en_US |
dc.description.abstract | Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ; | en_US |
dc.description.statementofresponsibility | by Taweh Beysolow II. | en_US |
dc.description.tableofcontents | Chapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ; | en_US |
dc.format.extent | XV, 150 p. 32 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484237328.pdf | en_US |
dc.subject | Electronic data processing. ; | en_US |
dc.subject | Python (Computer program language). ; | en_US |
dc.subject | Open source software. ; | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Big data. ; | en_US |
dc.subject | Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ; | en_US |
dc.subject | Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ; | en_US |
dc.subject | Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ; | en_US |
dc.subject | Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ; | en_US |
dc.subject.ddc | 006 ; 23 ; | en_US |
dc.title | Applied Natural Language Processing with Python | en_US |
dc.title.alternative | Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484237328.pdf | 2.98 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Beysolow II, Taweh. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:17:22Z | - |
dc.date.available | 2020-05-17T08:17:22Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484237335 ; | en_US |
dc.identifier.isbn | 9781484237328 (print) ; | en_US |
dc.identifier.isbn | 9781484237342 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/477 | - |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | QA75.5-76.95 ; | en_US |
dc.description | Printed edition: ; 9781484237328. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | Printed edition: ; 9781484237342. ; | en_US |
dc.description.abstract | Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ; | en_US |
dc.description.statementofresponsibility | by Taweh Beysolow II. | en_US |
dc.description.tableofcontents | Chapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ; | en_US |
dc.format.extent | XV, 150 p. 32 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484237328.pdf | en_US |
dc.subject | Electronic data processing. ; | en_US |
dc.subject | Python (Computer program language). ; | en_US |
dc.subject | Open source software. ; | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Big data. ; | en_US |
dc.subject | Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ; | en_US |
dc.subject | Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ; | en_US |
dc.subject | Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ; | en_US |
dc.subject | Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ; | en_US |
dc.subject.ddc | 006 ; 23 ; | en_US |
dc.title | Applied Natural Language Processing with Python | en_US |
dc.title.alternative | Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484237328.pdf | 2.98 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Beysolow II, Taweh. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:17:22Z | - |
dc.date.available | 2020-05-17T08:17:22Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484237335 ; | en_US |
dc.identifier.isbn | 9781484237328 (print) ; | en_US |
dc.identifier.isbn | 9781484237342 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/477 | - |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | QA75.5-76.95 ; | en_US |
dc.description | Printed edition: ; 9781484237328. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | Printed edition: ; 9781484237342. ; | en_US |
dc.description.abstract | Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ; | en_US |
dc.description.statementofresponsibility | by Taweh Beysolow II. | en_US |
dc.description.tableofcontents | Chapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ; | en_US |
dc.format.extent | XV, 150 p. 32 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484237328.pdf | en_US |
dc.subject | Electronic data processing. ; | en_US |
dc.subject | Python (Computer program language). ; | en_US |
dc.subject | Open source software. ; | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Big data. ; | en_US |
dc.subject | Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ; | en_US |
dc.subject | Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ; | en_US |
dc.subject | Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ; | en_US |
dc.subject | Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ; | en_US |
dc.subject.ddc | 006 ; 23 ; | en_US |
dc.title | Applied Natural Language Processing with Python | en_US |
dc.title.alternative | Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484237328.pdf | 2.98 MB | Adobe PDF | Preview File |