PickAClass · AI, Tech & Engineering · AI & Machine Learning

Natural Language Processing (NLP)

Teach computers to understand, process, and generate human language. Cover topics from text preprocessing and sentiment analysis to transformers and large language models.

Natural Language Processing (NLP)

C# Regular Expressions: Mastering Backreferences

Designing Social Media Features for Coding Interviews

Extended Regular Expressions in Bash

Word Embeddings: Foundations for NLP

BiLSTM for Text Classification: Build & Optimize Models

GREP & Regular Expressions: Practical Text Searching

Data Preparation for NLP Seq2Seq Models

Opinion Mining with Azure Text Analytics for Feedback Analysis

Parsing Serialized Data for ML Pipelines

Text Feature Engineering for Machine Learning

Regular Expressions: Practical Repetition Patterns

Regular Expressions: Matching Text with Literals

Regex Fundamentals: Pattern Matching with Alternation

Text Generation with Markov Chains and Variable K

Word Embeddings and Word2Vec for Sentence Similarity

Python Pycairo: Precise Text Alignment for Beginners

JavaScript Regex for String Array Transformation

Recurrent Neural Networks for NLP & Sentiment Analysis

AWK Built-in Variables for Text Processing

Natural Language Processing with spaCy: Entities and Dependency Parsing

Natural Language Processing with Azure Text Analytics and FastAPI

Sentiment Analysis with RNNs and Keras

Greedy and Lazy Matching in Regular Expressions

Parsing PDF Text Data with Python