- Section 1
- Section 2
- Section 3
- Section 4
- Section 5
- Section 6
- BONUS
CALCULUS for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTION
What is Calculus?
Applications of Calculus in ML
Calculus Notation
Computation Map
Linear Functions
Derivative
Product & Quotient Rule
Exponential & Logarithm Rule
Sine and Cosine Functions
Sigmoid Function
Hyperbolic Function
Chain Rule
Differentiation
Multivariable Functions
Partial Differentiation
Sigma Notation
Taylor/Mclaurin Series Expansion
Integration
Area Between Curves
Distance Measurement
Argmax – Argmin
WHY CALCULUS?
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.
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Artificial Intelligence & Data Science
We combine the lessons that we have prepared with our interest and expertise on Python, Data Science, Machine Learning, Deep Learning and Artificial Intelligence with real life examples. In addition, we encourage you to share your work with the world to extend the knowledge you have learned beyond the basic level.
Thanks to our success on the Kaggle platform, a subsidiary of Google, we teach you professional and world class quality certified lessons.
Add the courses you need to your library now and let's get started!