In this second series of mathematics for machine learning, Calculus has been presented in a very comprehensive way. Calculus is very crucial to understand and learn about Machine Learning. In this course, you will find everything you need to about calculus for machine learning.

Topics

• The Limit of a Function (0:00)
• Basic Differentiation Rules (12:27)
• The Chain Rule (27:03)
• Implicit Differentiation and Logarithms (39:55)
• Related Rates ( 45:10)
• L’Hopital’s Rule (1:00:34)
• Concavity and Inflection Points (1:15:00)
• Antiderivatives and Indefinite Integrals (1:29:00)
• The Definite Integral and Riemann Sums (1:41:16)
• The Fundamental Theorem of Calculus (01:59:50)
• The Substitution Method (2:14:09)
• Calculating Areas (2:28:06)
• Integration By Parts (2:45:50)
• Improper Integrals Bounded Intervals (03:01:04)
• Trigonometric Substitutions (03:19:11)
• Integration by Partial Fractions (03:35:33)

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