These modules cover critical considerations when building and deploying ML models in the real world, including productionization best practices, automation, and responsible engineering.

Machine Learning scientists and engineers are the ones who make the problems. Learn Linear Algebra, Machine Learning, Deep Learning, NLP and Computer Vision. Practice as much as …

Dec 26, 2025 · Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed …

This introductory book provides a code-first approach to learn how to implement the most common ML scenarios, such as computer vision, natural language processing (NLP), and …

Apr 28, 2025 · With simple yet complete code implementations of Linear Regression, Logistic Regression, Neural Networks, Decision Trees, and K-Means from scratch, explained line-by …

Machine Learning Notes and Code This repository contains structured Machine Learning notes, hands-on coding implementations, and projects.

Learning via coding is the preferred learning style for many developers and engineers. Here’s how to get started with machine learning by coding everything from scratch.

Oct 24, 2023 · On this journey, you'll unravel the fascinating world of ML, one where technology learns and grows from the information it encounters. But before doing so, let's look into some …

ChatGPT: Ask ChatGPT to walk through implementation details of any ML algorithm from scratch.

Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer. Ready to dive into the world of Generative AI? Learn how ChatGPT works, how to …