Calculus for Data Science & Machine Learning - 2020
CALCULUS for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTION
What is Calculus?
Applications of Calculus in ML
Product & Quotient Rule
Exponential & Logarithm Rule
Sine and Cosine Functions
Taylor/Mclaurin Series Expansion
Area Between Curves
Argmax – Argmin
Calculus is absolutely key to understanding the linear algebra and statistics you need in machine learning and data science.
If you can understand machine learning methods at the level of derivative you will improve your intuition for how and when they work.
A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results.
THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE
In-class support: We don't just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.
WHO WE ARE: DATAI TEAM ACADEMY
DATAI TEAM is a team of Python Programmers and Data Scientists.
Let's register for the course and start to Calculus for Data Science & Machine Learning.