By the end of the course, you’ll be able to learn
- Understand the fundamentals of linear algebra, a ubiquitous approach for solving for unknowns within high-dimensional spaces.
- Manipulate tensors using the most important Python tensor libraries: NumPy, TensorFlow, and PyTorch
- Possess an in-depth understanding of matrices, including their properties, key classes, and critical ML operations
- Develop a geometric intuition of what’s going on beneath the hood of ML and deep learning algorithms.
- Be able to more intimately grasp the details of cutting-edge machine learning papers
Duration: 3.5 hours on-demand video Rating: 4.5 out of 5
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