Master calculus 1 using Python: derivatives and applications
Master calculus 1 using Python: derivatives and applications
Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.
Product Brand: Udemy
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Udemy Coupon Code for Master calculus 1 using Python: derivatives and applications Course. Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.
Created by Mike X Cohen | 41.5 hours on-demand video course
Calculus Course Overview
Master calculus 1 using Python: derivatives and applications
The beauty and importance of calculus. Calculus is a beautiful topic in mathematics. No, really! At its heart, calculus is about change. Life is full of change, and calculus is the language that humans developed (invented or discovered — that’s an ongoing debate!) to understand how physical, biological, and abstract systems change. Calculus is more than just some equations you have to memorize; it’s a way of looking at the world and trying to understand how the tiniest infinitesimal changes can lead to gigantic complexity bigger than the imagination. OK, but aside from all that fluff, calculus is also really important for basically every piece of engineering and digital technology that has touched humanity. Indeed, the history of calculus is the history of civilization.
What you’ll learn
- Differential calculus
- Mathematical functions (rational, polynomial, transcendantal, trig)
- Limits and tricks for solving limits problems
- Differentiation rules
- Tips and tricks for differentiation
- Proofs
- Python (numpy and sympy)
- Numerical processing
- Applied calculus
- Visualizing math functions (matplotlib)
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Welcome to the exciting world of Matrix Calculus, a fundamental tool for understanding and solving problems in machine learning and data science. In this Math 0-1: Matrix Calculus in Data Science & Machine Learning Course, we will dive into the powerful mathematics that underpin many of the algorithms and techniques used in these fields. By the end of this course, you’ll have the knowledge and skills to navigate the complex landscape of derivatives, gradients, and optimizations involving matrices.
Who this course is for:
- Calculus students looking for better educational material
- Mathematicians who want to implement math in code
- Coders who want to use Python to learn math
- Data scientists (current or aspiring)
- Machine-learning and A.I. enthusiasts
- Anyone curious about the amazing beauty of calculus on computers!
- Anyone looking for an intellectually stimulating hobby
Taught by Mike X Cohen
