100% Off Udemy Course Coupon Code Machine Learning and Data Science Foundations Masterclass Course Free: The Theoretical and Practical Foundations of Machine Learning. Master Matrices, Linear Algebra, and Tensors in Python. Udemy free online courses with certificates. Learn how to identify, start, stop, restart, and manage key services on Windows 10 as well as their relevant cmd commands. 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.

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Machine Learning and Data Science Foundations Masterclass Course Free
Machine Learning and Data Science Foundations Masterclass Course Free

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 mathematics such as linear algebra, matrices, and tensor manipulation, which operate behind the most important Python libraries and machine learning and data science algorithms.

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Learn About:

  • 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.

Requirements:

  • All code demos will be in Python so experience with it or another object-oriented programming language would be helpful for following along with the hands-on examples.
  • Familiarity with secondary school-level mathematics will make the class easier to follow along with. If you are comfortable dealing with quantitative information — such as
  • understanding charts and rearranging simple equations — then you should be well-prepared to follow along with all of the mathematics.

Machine Learning and Data Science Foundations Masterclass Course Free

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