Introduction to Machine Learning: Lesson 01

Stephen Blum · Beginner ·📐 ML Fundamentals ·1w ago

Key Takeaways

Introduces NumPy for machine learning with PyTorch and TensorFlow

Original Description

Before we can do any machine learning, we need to be comfortable with NumPy. NumPy is the foundation of numerical computing in Python. Every ML framework (PyTorch, TensorFlow) is built on the same ideas you will learn here. Key idea: ML is mostly about doing arithmetic on large arrays of numbers, fast. NumPy lets us express that arithmetic clearly and run it efficiently.
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