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Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing
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Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing
Leverage the power of machine learning and deep learning to extract information from text data.
Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing
Item #: 16404385

Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing

Item #: 16404385

MYR 377

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What Stands Out

Comprehensive Techniques
Covers advanced machine learning and deep learning methods for natural language processing, providing users with in-depth knowledge to tackle complex NLP challenges efficiently.
Real-world Applications
Focuses on practical applications and case studies, allowing learners to apply advanced theories directly to real-world scenarios, enhancing skill relevance and employability.
Expert Insights
Includes contributions from industry experts, offering unique perspectives and insider tips that enrich the learning experience and provide a competitive edge in the field.

Maklumat produk

Discover the power of Python with advanced machine learning and deep learning techniques for natural language processing. Shop now at Ubuy Malaysia.
  • Key FeaturesImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implement NLP in your applications with easeUnderstand and interpret human languages with the power of text analysis via PythonBook DescriptionThis book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis.You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data.By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world.What you will learnFocus on Python programming paradigms, which are used to develop NLP applicationsUnderstand corpus analysis and different types of data attribute.Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so onLearn about Features Extraction and Feature selection as part of Features Engineering.Explore the advantages of vectorization in Deep Learning.Get a better understanding of the architecture of a rule-based system.Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems.Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems.About the AuthorJalaj Thanaki is a data scientist by profession and data science researcher by practice. She likes to deal with data science related problems. She wants to make the world a better place using data science and artificial intelligence related technologies. Her research interest lies in natural language processing, machine learning, deep learning, and big data analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.Table of ContentsIntroductionPractical Understanding of a Corpus and DatasetUnderstanding the Structure of a SentencesPreprocessingFeature Engineering and NLP AlgorithmsAdvanced Feature Engineering and NLP AlgorithmsRule-Based System for NLPMachine Learning for NLP ProblemsDeep Learning for NLU and NLG ProblemsAdvanced ToolsHow to Improve Your NLP SkillsInstallation Guide
Publisher Packt Publishing
Publication date July 31, 2017
Language English
Print length 486 pages
ISBN-10 1787121429
ISBN-13 978-1787121423
Item Weight 1.82 pounds (830 grams)
Dimensions 7.5 x 1.1 x 9.25 inches (19.1 x 2.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their NLP skills with modern machine learning and deep learning methods.

  • Machine Learning Engineers

    Great resource for engineers focused on building and optimizing NLP models using advanced techniques.

  • Academics and Researchers

    Suitable for those in academia wanting to explore NLP topics deeply for research or thesis projects.

Not Suitable For
  • Beginners

    Not suitable for beginners who lack foundational knowledge in Python and machine learning concepts.

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  • soalan: Bagaimana untuk Membeli-belah Python Natural Language Processing: Advanced machine Dalam Talian Dari Ubuy?

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    jawab: Ya, di Ubuy Malaysia produk ini tersedia untuk anda membeli-belah pada harga yang berpatutan.. Python Natural Language Processing: Advanced machine tidak tersedia secara tempatan tetapi anda boleh mempercayai kami dengan perkhidmatan penghantaran ekspres kami.
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Natural Language Processing Editorial Review

The Python Natural Language Processing book offers advanced techniques for machine learning and deep learning in natural language processing. The book is written for those who have at least an intermediate understanding of Python and the fundamentals of natural language processing. It provides easy-to-follow examples and explanations of complex techniques and theories. The content is well organized, making it easy for readers to find information on specific topics. Beginner users may find the book difficult to follow at times.

Customer Reviews & Ratings

3.8
14 rating pelanggan
  • 5 bintang
    60%
  • 4 bintang
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  • 3 bintang
    12%
  • 2 bintang
    14%
  • 1 bintang
    14%

Ulas Produk Ini

Kongsikan pandangan anda dengan pelanggan lain

Kebaikan

  • Advanced techniques for natural language processing
  • Easy-to-follow examples and explanations
  • Well-organized content

Keburukan

  • Not suitable for beginners

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MYR 377

Pesan sekarang dan dapatkannya lebih kurang pada Monday, Oktober 12

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Ciri & Faedah

  • Discover advanced machine learning and deep learning techniques for NLP.
  • Learn to implement efficient NLP applications using Python libraries like NLTK and SpaCy.
  • Master text analysis to understand and interpret human language.
  • Get hands-on experience with real-world NLP examples and projects.
  • Explore features extraction and the power of vectorization in deep learning.
  • Optimize machine learning algorithms for better natural language processing results.

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