Calculus for Data Science & Machine Learning - 2020

What you'll learn
Basics of Calculus for Machine Learning & Data Science
Derivative-Differentiation
Multivariable Functions
Integration
Functions
Requirements
No prior knowledge is required
Aim of Learning Machine Learning and Data Science
Description
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.
Who this course is for:
Those who want to specialize in Machine Learning but not know calculus
Those who want to learn a calculus but cannot decide where to start
Those who want to start and continue their education or career in data science, machine learning or artificial intelligence

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