### Calculus for Beginners Full Course | Calculus For Machine Learning

Learn calculus for beginners, with a focus on machine learning, in this comprehensive course.

Calculus is the foundation for many STEM fields, including machine learning. This full course for beginners will teach you everything you need to know about calculus, including limits, derivatives, and integrals. You will also learn how to apply calculus to solve real-world problems in machine learning.

Calculus, originally called infinitesimal calculus or “the calculus of infinitesimals”, is the mathematical study of continuous change, in the same way that geometry is the study of shape and algebra is the study of generalizations of arithmetic operations. This course is for those who want to learn calculus in depth as well as for machine learning enthusiasts. You will be learning most of the crucial concepts of calculus with comprehensive explanation.

⭐ Table of Contents ⭐

⌨️ (0:05) A Preview of Calculus

⌨️ (37:25) The Limit of a Function.

⌨️ (1:14:30) The Limit Laws

⌨️ (1:51:00) Continuity

⌨️ (2:16:52) The Precise Definition of a Limit

⌨️ (2:45:52) Defining the Derivative

⌨️ (3:10:16) The Derivative as a Function

⌨️ (3:34:28) Differentiation Rules

⌨️ (4:04:05) Derivatives as Rates of Change

⌨️ (4:39:40) Derivatives of Trigonometric Functions

⌨️ (4:55:30) The Chain Rule

⌨️ (5:15:08) Derivatives of Inverse Functions

⌨️ (5:40:18) Implicit Differentiation

⌨️ (6:06:28) Derivatives of Exponential and Logarithmic Functions

⌨️ (6:31:32) Partial Derivatives

⌨️ (6:53:10) Related Rates

⌨️ (7:19:48) Linear Approximations and Differentials

⌨️ (7:42:56) Maxima and Minima

⌨️ (8:01:59) The Mean Value Theorem

⌨️ (8:21:21) Derivatives and the Shape of a Graph

⌨️ (8:45:59) Limits at Infinity and Asymptotes

⌨️ (9:11:35) Applied Optimization Problems

⌨️ (9:42:36) L’Hopital’s Rule

⌨️ (10:14:01) Newton’s Method

⌨️ (10:35:24) Antiderivatives

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