A comprehensive resource hub for learning serverless computing, featuring tutorials, projects, and examples using AWS Lambda, Azure Functions, and other cloud platforms. Includes hands-on exercises to build and deploy serverless applications with minimal infrastructure management.
A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.
A curated collection of books, summaries, and resources focused on artificial intelligence and machine learning, covering algorithms, deep learning, and practical applications. Designed to support learners and professionals in mastering AI/ML concepts with recommended readings and notes.
A comprehensive learning resource for mastering YAML, JSON, and JSONPath, featuring tutorials, examples, and practical exercises for data serialization and querying. Designed for beginners to advanced users, it covers syntax, validation, and real-world applications.