🤖 AI & Machine Learning

Introduction to Natural Language Processing

This course provides a comprehensive introduction to Natural Language Processing (NLP), a crucial area of artificial int...

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Sections

1. Introduction to NLP
12 views

Explore the basics of NLP, including its history, significance, and real-world applications.

10 topics (10 versions)

1.1Definition and Scope of NLP

1.2History and Evolution of NLP

1.3Applications of NLP in Various Industries

1.4Challenges in NLP

1.5NLP vs. Other AI Fields

1.6Ethical Considerations in NLP

1.7NLP in the Era of Big Data

1.8Introduction to NLP Terminology

1.9Key Resources and Tools for NLP

1.10The Future of NLP

2. Text Preprocessing
11 views

Learn techniques for preparing raw text data for NLP tasks.

10 topics (10 versions)

2.1Tokenization

2.2Normalization

2.3Stemming and Lemmatization

2.4Stopword Removal

2.5Handling Punctuation and Special Characters

2.6Case Conversion

2.7Text Cleaning

2.8Noise Removal

2.9Handling Out-of-Vocabulary Words

2.10Data Augmentation in NLP

3. Linguistic Fundamentals
10 views

Understand the linguistic concepts essential for NLP.

10 topics (10 versions)

3.1Phonetics and Phonology

3.2Morphology

3.3Syntax

3.4Semantics

3.5Pragmatics

3.6Part-of-Speech Tagging

3.7Dependency Parsing

3.8Constituency Parsing

3.9Named Entity Recognition

3.10Word Sense Disambiguation

4. Statistical NLP
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Examine statistical methods and models used in NLP.

10 topics (10 versions)

4.1Probability Theory in NLP

4.2Language Modeling

4.3n-grams and Markov Models

4.4Hidden Markov Models

4.5Maximum Entropy Models

4.6Bayesian Networks

4.7Support Vector Machines in NLP

4.8Decision Trees

4.9Random Forests

4.10Evaluation Metrics for Statistical Models

5. Machine Learning for NLP
11 views

Discover how machine learning techniques are applied to NLP tasks.

10 topics (10 versions)

5.1Supervised Learning in NLP

5.2Unsupervised Learning in NLP

5.3Semi-supervised Learning

5.4Feature Engineering for Text Data

5.5Dimensionality Reduction Techniques

5.6Clustering Algorithms

5.7Text Classification

5.8Sentiment Analysis

5.9Topic Modeling

5.10Transfer Learning in NLP

6. Deep Learning for NLP
9 views

Explore the use of deep learning models to tackle complex NLP problems.

10 topics (10 versions)

6.1Neural Networks

6.2Word Embeddings

6.3Recurrent Neural Networks (RNNs)

6.4Long Short-Term Memory Networks (LSTMs)

6.5Gated Recurrent Units (GRUs)

6.6Convolutional Neural Networks (CNNs) for NLP

6.7Attention Mechanisms

6.8Transformers

6.9BERT and Its Variants

6.10Evaluation of Deep Learning Models

7. Natural Language Generation
5 views

Learn the techniques used to generate human-like text.

10 topics (10 versions)

7.1Components of NLG Systems

7.2Template-Based Generation

7.3Statistical NLG

7.4Neural NLG Models

7.5Text Summarization

7.6Dialogue Systems

7.7Chatbots

7.8Story Generation

7.9Machine Translation

7.10Evaluation of NLG Systems

8. Speech Processing
7 views

Delve into the techniques that enable machines to process and understand spoken language.

10 topics (10 versions)

8.1Speech Recognition

8.2Acoustic Modeling

8.3Language Modeling for Speech

8.4Speech Synthesis

8.5Speaker Identification

8.6Speech Emotion Recognition

8.7End-to-End Speech Processing Models

8.8Speech Enhancement

8.9Voice Conversion

8.10Applications of Speech Processing

9. Information Retrieval
9 views

Explore systems designed to retrieve relevant information from large datasets.

10 topics (10 versions)

9.1Introduction to Information Retrieval

9.2Vector Space Models

9.3Boolean and Probabilistic Models

9.4Indexing and Searching

9.5Relevance Feedback

9.6Evaluation Metrics for IR

9.7Web Search Engines

9.8Document Ranking Algorithms

9.9Question Answering Systems

9.10Multimedia Information Retrieval

10. Advanced NLP Topics
11 views

Investigate cutting-edge topics and current trends in NLP research.

10 topics (10 versions)

10.1Multilingual NLP

10.2Cross-lingual Learning

10.3Ethics and Bias in NLP

10.4Explainable NLP

10.5NLP for Low-Resource Languages

10.6Privacy Preserving NLP

10.7Hybrid NLP Systems

10.8NLP for Social Media Analysis

10.9NLP in Healthcare

10.10Future Directions in NLP Research

11. Practical NLP Projects
14 views

Apply the concepts learned through practical projects and real-world case studies.

10 topics (10 versions)

11.1Project Setup and Environment

11.2Data Collection and Annotation

11.3Building a Text Classifier

11.4Developing a Chatbot

11.5Sentiment Analysis on Social Media

11.6Implementing a Recommendation System

11.7Creating a Simple Machine Translation System

11.8Speech-to-Text Conversion Project

11.9Deploying NLP Models

11.10Case Studies of Successful NLP Applications

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Introduction to Natural Language Processing

Sections

1. Introduction to NLP12 views

2. Text Preprocessing11 views

3. Linguistic Fundamentals10 views

4. Statistical NLP13 views

5. Machine Learning for NLP11 views

6. Deep Learning for NLP9 views

7. Natural Language Generation5 views

8. Speech Processing7 views

9. Information Retrieval9 views

10. Advanced NLP Topics11 views

11. Practical NLP Projects14 views

Sign in to track your progress

1. Introduction to NLP
12 views

2. Text Preprocessing
11 views

3. Linguistic Fundamentals
10 views

4. Statistical NLP
13 views

5. Machine Learning for NLP
11 views

6. Deep Learning for NLP
9 views

7. Natural Language Generation
5 views

8. Speech Processing
7 views

9. Information Retrieval
9 views

10. Advanced NLP Topics
11 views

11. Practical NLP Projects
14 views