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)

RxJS Fundamentals: Flatten and Reduce Operators

Text Compression in Python: Encoding with Word IDs

Text Moderation with Azure and Python

Repeated Character Detection for Text Filtering

Word Break Algorithms in Python for Search Engine Tasks

Random Number Generation and Probability Distributions in Python

Elixir Algorithm Practice: Converting Integers to English Words

Building RNN Models for Sentiment Analysis

Introduction to Regular Expressions for Developers

Text Line Manipulation with sed Command-Line Tools

Python Regular Expressions: Mastering Character Matching

Solving Word Formation Problems with Hash Tables in Python

Introduction to Bidirectional LSTM for Text Classification

Foundations of Page Representation and Ubiquitous Language

Text Tokenization and Vocabulary Building in NLP with TensorFlow

Python Regex Lookahead: Precise Pattern Matching

Text Generation with Markov Chains and Python

Verify Alien Dictionary Sorting and Custom Alphabet Order

Advanced MongoDB Text Search: Sorting, Weights, and Language Options

Regular Expressions: Grouping and Capturing Meta-Characters

Building Text File Processing and Spell Check in Node.js

Regular Expressions and Pattern Matching with Character Classes

Final States in LSTM and BiLSTM for Seq2Seq Models

Python Regex: Mastering Greedy and Non-Greedy Matching