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)

Go Strings: Mastering Unicode and UTF-8 for Text Processing

Graph Algorithms: BFS and DFS for Word Transformations

Python Regex: Lookahead and Lookbehind for Precise Matching

Validate String to Number with State Machines

Building Text Generators with Markov Chains

RegExp in JavaScript: Match & Manipulate Text Patterns

Bash Commands for Text Processing and Data Mining

Count Words in Code Comments for Interviews

Formatted Output and Input for Beginners

Elixir Strings and Charlists: Understand Their Differences

Elixir: Graph Algorithms for Word Transformation

Ruby on Rails: Building Comment Systems

Introduction to Word Embeddings and Word2Vec

Elixir: Grouping Text by Character Differences

Python Regex: Find Text Patterns with re.search

Language Detection with Azure AI Language

Recurrent Neural Networks Explained

Understanding RNNs for Text Sentiment

Python Regex: Named Groups for Structured Data Extraction

Regular Expressions: Fundamentals of Pattern Matching

Ruby Regex: Character Classes for Text Patterns

Go: Anagram Grouping for Text Processing

ReasonML Characters: A Foundational Guide

C# String Manipulation and Regular Expressions