000			01993cam a22002655i 4500
020			_a9781484237335
082	0	4	_a006.3 _223 _bBEY
100	1		_aBeysolow II, Taweh,
245	1	0	_aApplied Natural Language Processing with Python : _bImplementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / _cby Taweh Beysolow II.
250			_a1st ed. 2018.
260			_bApress _c2021
300			_a1 online resource (XV, 150 pages 32 illustrations)
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	_aArtificial intelligence.
650		0	_aBig data.
650		0	_aComputer programming.
650		0	_aOpen source software.
650		0	_aPython (Computer program language).
650	1	4	_aArtificial Intelligence.
650	2	4	_aBig Data.
650	2	4	_aOpen Source.
650	2	4	_aPython.
942			_cBK
999			_c669908 _d669908