Introduction to Machine Learning: Lesson 02
Skills:
ML Maths Basics90%
Key Takeaways
Covers NumPy basics 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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