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Machine Learning & Data Science Foundations Masterclass [Free Online Course] - TechCracked

Machine Learning & Data Science Foundations Masterclass

The Theoretical and Practical Foundations of Machine Learning. Master Matrices, Linear Algebra, and Tensors in Python

This course includes:
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion


What you'll 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


Description

To be a good data scientist, you need to know how to use data science and machine learning libraries and algorithms, such as NumPy, TensorFlow and PyTorch, to solve whichever problem you have at hand.

To be an excellent data scientist, you need to know how those libraries and algorithms work.

This is where our course "Machine Learning & Data Science Foundations Masterclass" comes in. Led by deep learning guru Dr. Jon Krohn, this first entry in the Machine Learning Foundations series will give you the basics of the mathematics such as linear algebra, matrices and tensor manipulation, that operate behind the most important Python libraries and machine learning and data science algorithms.

Also See : Python 3: From ZERO to GUI programming

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