Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/477
Title: Applied Natural Language Processing with Python
Other Titles: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
Authors: Beysolow II, Taweh. ;
subject: Electronic data processing. ;;Python (Computer program language). ;;Open source software. ;;Computer Programming;Big data. ;;Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;;Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;;Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;;Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;;006 ; 23 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
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 . ;
Description: 
Printed edition: ; 9781484237328. ;
SpringerLink (Online service) ;
QA75.5-76.95 ;



Printed edition: ; 9781484237342. ;
URI: http://localhost/handle/Hannan/477
ISBN: 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
More Information: XV, 150 p. 32 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Applied Natural Language Processing with Python
Other Titles: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
Authors: Beysolow II, Taweh. ;
subject: Electronic data processing. ;;Python (Computer program language). ;;Open source software. ;;Computer Programming;Big data. ;;Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;;Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;;Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;;Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;;006 ; 23 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
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 . ;
Description: 
Printed edition: ; 9781484237328. ;
SpringerLink (Online service) ;
QA75.5-76.95 ;



Printed edition: ; 9781484237342. ;
URI: http://localhost/handle/Hannan/477
ISBN: 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
More Information: XV, 150 p. 32 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484237328.pdf2.98 MBAdobe PDFThumbnail
Preview File
Title: Applied Natural Language Processing with Python
Other Titles: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
Authors: Beysolow II, Taweh. ;
subject: Electronic data processing. ;;Python (Computer program language). ;;Open source software. ;;Computer Programming;Big data. ;;Computing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;;Python. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;;Open Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;;Big Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;;006 ; 23 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
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 . ;
Description: 
Printed edition: ; 9781484237328. ;
SpringerLink (Online service) ;
QA75.5-76.95 ;



Printed edition: ; 9781484237342. ;
URI: http://localhost/handle/Hannan/477
ISBN: 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
More Information: XV, 150 p. 32 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484237328.pdf2.98 MBAdobe PDFThumbnail
Preview File