Get **80% discount** on Mathematical Foundations of Machine Learning from Udemy.

## Mathematical Foundations of Machine Learning Coupon

Get an exclusive 80% Udemy discount for a limited time

## Course Details

Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch

**Language**: English (US)**Offer**: 80% discount**Total Ratings**: 4.6**Organization**: Udemy**Course Lenght**: 16.5 hours on-demand video

## What You will learn from this course?

- Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science
- Manipulate tensors using all three of the most important Python tensor libraries: NumPy, TensorFlow, and PyTorch
- How to apply all of the essential vector and matrix operations for machine learning and data science
- Reduce the dimensionality of complex data to the most informative elements with eigenvectors, SVD, and PCA
- Solve for unknowns with both simple techniques (e.g., elimination) and advanced techniques (e.g., pseudoinversion)
- Appreciate how calculus works, from first principles, via interactive code demos in Python
- Intimately understand advanced differentiation rules like the chain rule
- Compute the partial derivatives of machine-learning cost functions by hand as well as with TensorFlow and PyTorch
- Grasp exactly what gradients are and appreciate why they are essential for enabling ML via gradient descent
- Use integral calculus to determine the area under any given curve
- Be able to more intimately grasp the details of cutting-edge machine learning papers
- Develop an understanding of what’s going on beneath the hood of machine learning algorithms, including those used for deep learning

## About Course Instructor

Dr Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the book *Deep Learning Illustrated*, an instant #1 bestseller that was translated into six languages.