Calculus And Optimization

  1. 1.Why Calculus & Optimization Matters for Programmers
  2. 2.Limits & Continuity
  3. 3.Derivatives: Definition & Rules
  4. 4.Derivatives in Practice: Common Functions & Real Interpretation
  5. 5.Partial Derivatives & the Gradient
  6. 6.Gradient Descent: The Optimization Algorithm Behind Machine Learning
  7. 7.Convexity, Local vs. Global Minima & Optimization Landscapes
  8. 8.The Chain Rule & Backpropagation
  9. 9.Integrals & Numerical Integration
  10. 10.Capstone — Optimizing a Function From Scratch
Read as One Page
Calculus & Optimization — Complete Course
PDF Downloads
Calculus_Optimization_Course.pdf
Exercise Solutions
calc1-1_challenge1.txtcalc1-1_challenge2.txtcalc1-1_challenge3.txtcalc1-2_challenge1.txtcalc1-2_challenge2.txtcalc1-2_challenge3.txtcalc1-3_challenge1.txtcalc1-3_challenge2.txtcalc1-3_challenge3.txtcalc1-4_challenge1.txtcalc1-4_challenge2.txtcalc1-4_challenge3.txtcalc1-5_challenge1.txtcalc1-5_challenge2.txtcalc1-5_challenge3.txtcalc1-6_challenge1.txtcalc1-6_challenge2.txtcalc1-6_challenge3.txtcalc1-7_challenge1.txtcalc1-7_challenge2.txtcalc1-7_challenge3.txtcalc1-8_challenge1.txtcalc1-8_challenge2.txtcalc1-8_challenge3.txtcalc1-9_challenge1.txtcalc1-9_challenge2.txtcalc1-9_challenge3.txtcalc1-10_challenge1.txtcalc1-10_challenge2.txtcalc1-10_challenge3.txt