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1
) A Preview of Calculus
2
) The Limit of a Function.
3
) The Limit Laws
4
) Continuity
5
) The Precise Definition of a Limit
6
) Defining the Derivative
7
) The Derivative as a Function
8
) Differentiation Rules
9
) Derivatives as Rates of Change
10
) Derivatives of Trigonometric Functions
11
) The Chain Rule
12
) Derivatives of Inverse Functions
13
) Implicit Differentiation
14
) Derivatives of Exponential and Logarithmic Functions
15
) Partial Derivatives
16
) Related Rates
17
) Linear Approximations and Differentials
18
) Maxima and Minima
19
) The Mean Value Theorem
20
) Derivatives and the Shape of a Graph
21
) Limits at Infinity and Asymptotes
22
) Applied Optimization Problems
23
) L'Hopital's Rule
24
) Newton's Method
25
) Antiderivatives
Description:
Embark on a comprehensive 10-hour calculus course designed for beginners and machine learning enthusiasts alike. Delve into the mathematical study of continuous change, exploring crucial concepts with in-depth explanations. Begin with an overview of calculus before progressing through topics such as limits, continuity, derivatives, and their applications. Master differentiation rules, rates of change, and trigonometric functions. Explore advanced concepts including the chain rule, implicit differentiation, and partial derivatives. Apply your knowledge to real-world scenarios through related rates and optimization problems. Conclude with an introduction to antiderivatives, equipping you with a solid foundation in calculus principles essential for further study or application in machine learning.

Calculus for Beginners - Calculus for Machine Learning

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#Mathematics #Calculus #Computer Science #Machine Learning #Business #Finance #Trading #Derivatives #Chain Rule #Trigonometric Functions #Antiderivatives #Implicit Differentiation
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) A Preview of Calculus