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)

Keras Callbacks for Sentiment Analysis and RNN Training

Natural Language Processing Fundamentals for Modern Machine Learning

Deep Learning and NLP Foundations: Practical Assessment and Core Concepts

Data Preprocessing for Text and Categorical Attributes

Python Output Prediction: Solving Code Puzzles and Logic Challenges

Elixir Binaries and Pattern Matching for Beginners

System Design Patterns: Twitter Feature Solutions for Coding Interviews

Deep Learning with Haiku and JAX

Problem Formulation and Metrics for Personalized Feed Ranking

Mastering Character Sets in Regular Expressions

Natural Language Processing with BERT for Beginners

Text Preprocessing and Character-Level RNNs for NLP

Regular Expressions for Beginners: Pattern Matching and String Manipulation

Expressing Numbers in English Words with Code

PDF Text Annotation and Redaction with Python

Calculating Loss in LSTM Language Models

Text Analytics Fundamentals with Azure Language Service

Analyzing Text with Azure Cognitive Service for Language

Pattern Matching in Elixir: Unpacking Strings and Tuples

Natural Language Processing with spaCy for Beginners

Introduction to Word Embeddings for NLP

Categorical Feature Engineering with Count Encoding

Natural Language Processing with Gensim Word2Vec

Elixir Interview Coding Patterns for Technical Interviews