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عنوان: Applied Natural Language Processing with Python
عنوان دیگر: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
پدیدآورنده: Beysolow II, Taweh. ;
کلید واژه ها: 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 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 . ;
توضیحات : 
SpringerLink (Online service) ;
QA75.5-76.95 ;
Printed edition: ; 9781484237328. ;




Printed edition: ; 9781484237342. ;
آدرس: http://localhost/handle/Hannan/477
شابک : 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
اطلاعات بیشتر: XV, 150 p. 32 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484237328.pdf2.98 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Applied Natural Language Processing with Python
عنوان دیگر: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
پدیدآورنده: Beysolow II, Taweh. ;
کلید واژه ها: 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 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 . ;
توضیحات : 
SpringerLink (Online service) ;
QA75.5-76.95 ;
Printed edition: ; 9781484237328. ;




Printed edition: ; 9781484237342. ;
آدرس: http://localhost/handle/Hannan/477
شابک : 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
اطلاعات بیشتر: XV, 150 p. 32 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484237328.pdf2.98 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Applied Natural Language Processing with Python
عنوان دیگر: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
پدیدآورنده: Beysolow II, Taweh. ;
کلید واژه ها: 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 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 . ;
توضیحات : 
SpringerLink (Online service) ;
QA75.5-76.95 ;
Printed edition: ; 9781484237328. ;




Printed edition: ; 9781484237342. ;
آدرس: http://localhost/handle/Hannan/477
شابک : 9781484237335 ;
9781484237328 (print) ;
9781484237342 (print) ;
اطلاعات بیشتر: XV, 150 p. 32 illus. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484237328.pdf2.98 MBAdobe PDFتصویر
مشاهده فایل