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Applied natural language processing with Python :implementing machine learning and deep learning algorithms for natural language processing /
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書名 ： Applied natural language processing with Python :implementing machine learning and deep learning algorithms for natural language processing /
紀錄類型 ： 書目-語言資料,印刷品: 單行本
正題名[資料類型標示]/作者 ： Applied natural language processing with Python :by Taweh Beysolow II.
其他題名 ： implementing machine learning and deep learning algorithms for natural language processing /
作者 ： Beysolow, Taweh.
出版者 ： Berkeley, CA :Apress :2018.
面頁冊數 ： xv, 150 pages) :illustrations ;24 cm.
內容註 ： Chapter 1: What is Natural Language Processing? -- 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.
標題 ： Natural language processing (Computer science).
ISBN ： 9781484237328 (pbk.) :
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LEADER 01921pam a2200217 a 4500
001 978567
005 20190926092822.0
008 190930t20182018nyua g 000 0 eng d
020 $a9781484237328 (pbk.) :$cNT1038
024 7 $a10.1007/978-1-4842-3733-5$2doi
035 $aNO000180197
037 $a公共圖書館臺南分區資源中心
040 $aTWTNM$beng$dTWTNM
050 4$aQA76.9.N38$bB497 2018
082 04$a006.35$222
090 $a臺南市立圖書館
100 1 $aBeysolow, Taweh.
245 10$aApplied natural language processing with Python :$bimplementing machine learning and deep learning algorithms for natural language processing /$cby Taweh Beysolow II.
260 $aBerkeley, CA :$bApress :$c2018.$bImprint: Apress,
300 $axv, 150 pages) :$billustrations ;$c24 cm.
505 0 $aChapter 1: What is Natural Language Processing? -- 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.
520 $aLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms.
650 0$aNatural language processing (Computer science).
650 0$aPython (Computer program language).
650 0$aMachine learning.
650 14$aComputing Methodologies.
650 24$aPython.
650 24$aOpen Source.
650 24$aBig Data.
653 $a青少年