Applied Natural Language Processing with Python : (Record no. 669908)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01993cam a22002655i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781484237335 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| Item number | BEY |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Beysolow II, Taweh, |
| 245 10 - TITLE STATEMENT | |
| Title | Applied Natural Language Processing with Python : |
| Sub Title | Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / |
| Statement of responsibility, etc | by Taweh Beysolow II. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Apress |
| Year of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XV, 150 pages 32 illustrations) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Open source software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python (Computer program language). |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big Data. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Open Source. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home Library | Current Location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dept. of Computer Science | Dept. of Computer Science | 23/01/2023 | 006.3 BEY | DCS5049 | 23/01/2023 | Book |