Tag: Machine-Learning

Learn the essential libraries for data science: NumPy, Pandas, and Matplotlib. Understand their core functionalities and why they are …

Learn the basics of classical machine learning with Python and scikit-learn, including regression, classification, and model evaluation.

Learn the basics of deep learning and neural networks through a step-by-step tutorial.

Learn how to navigate the fast-paced AI landscape through research literacy and staying current with new paradigms.

Learn how to build a semantic search engine using embeddings, natural language processing, and Python.

Learn the fundamentals of Applied AI with Python, setting up your environment, and cultivating system thinking.

Learn how to design and orchestrate complex AI-driven workflows using multi-agent systems.

Learn how to use LangExtract for multi-pass extraction and refinement of complex documents.

Learn how to deploy LangExtract in a production environment for reliable, efficient, and scalable data extraction.

Learn how to build a real-time supply chain intelligence platform using Databricks Lakehouse, Apache Kafka, and other cutting-edge …

Explains the principles and implementation of semantic caching using Redis LangCache, focusing on embeddings and vector similarity.

Learn how to use Transformers.js, a JavaScript library for running state-of-the-art machine learning models in the browser.