Navigate the Depths of Natural Language Processing: Elevate Your Skills with Comprehensive Exam Practice Tests
Sub Category
- Test Prep
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Objectives
- Basic Concepts in NLP: Covering an introduction to natural language processing, its applications, and foundational terminology.
- Tokenization and Text Preprocessing: Understanding tokenization techniques, stemming, lemmatization, and cleaning text data.
- NLP Libraries and Tools: Exploring popular NLP libraries like NLTK, and spaCy, and their functionalities for text analysis.
- Language Modeling: Introduction to language models, n-grams, and basic probabilistic models in NLP.
- Sentiment Analysis: Basics of sentiment analysis, polarity detection, and simple sentiment classification techniques.
- Named Entity Recognition (NER): Techniques for identifying and classifying named entities like names, locations, and organizations within text.
- Word Embeddings: Introduction to word vectorization methods like Word2Vec, GloVe, and their applications in NLP tasks.
- Part-of-Speech (POS) Tagging: Understanding the grammatical structure of sentences using POS tagging techniques.
- Text Classification: Techniques for text categorization, including Naive Bayes, SVM, and neural network-based classifiers.
- Topic Modeling: Exploring techniques like Latent Dirichlet Allocation (LDA) for extracting topics from text corpora.
- Sequence-to-Sequence Models: Understanding advanced models like Recurrent Neural Networks (RNNs) and Transformer models for sequence-to-sequence tasks.
- Language Generation: Techniques for text generation tasks like machine translation, summarization, and dialogue generation.
- Ethical Considerations in NLP: Discussions on biases, fairness, and ethical challenges in NLP model development and deployment.
Pre Requisites
- Basic Programming Knowledge
- Understanding of NLP Concepts
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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