Machine Learning

Machine Learning is a subset of artificial intelligence that enables computer systems to learn and improve from experience without being explicitly programmed. It involves algorithms that can analyze data, identify patterns, and make predictions or decisions based on that analysis. This technology powers applications like recommendation systems, image recognition, and natural language processing.

Also known as: ML, Machine Learning Algorithms, Statistical Learning, Predictive Modeling, AI Learning

Why learn Machine Learning?

Developers should learn Machine Learning to build intelligent applications that can automate complex tasks, provide personalized user experiences, and extract insights from large datasets. It's essential for roles in data science, AI development, and any field requiring predictive analytics, such as finance, healthcare, or e-commerce.

Learning Resources

• course: Machine Learning by Andrew Ng (Coursera)
• docs: Scikit-learn Documentation
• book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
• tutorial: Machine Learning Crash Course (Google)
• video: 3Blue1Brown's Neural Networks Series