The video course of learning mathematics from scratch of AI is worth 1000 yuan

artificial intelligence It is a popular word in recent years. This kind of thing is also AI technology, and that kind of thing is also AI technology.

If you are interested, you can take a look at this set of AI courses. When KINOMOTO SAKURA saw mathematics in high school, he was surprised. Come on, give up.

Course objectives:
High school mathematics foundation, college mathematics foundation, AI related mathematics AI=70% mathematics (including algorithms)
Suitable for:
Friends who are interested in starting AI, strengthen the mathematical foundation related to AI

List of all 40 lectures:
01. High School Mathematics Foundation: set and function.mp4.
02. High school mathematics foundation: inverse function and six basic elementary school functions.mp4.
03. High school mathematics foundation: straight line, circle and equation.mp4.
04. High school mathematics foundation: progression and inequality.mp4.
05. High School Mathematics Foundation: Permutation and Combination [Cherry Blossom Village Share: yhz 22. com] MP4
06. High school mathematics foundation: the concept of angle and the derivation of commonly used trigle.mp4 formulas.
07. High school mathematics foundation: plane vector.mp4.
08. High School Mathematics Foundation: Probability Statistics [Cherry Blossom Village Share: 626. XOM.
09. High school mathematics foundation: random variables and their distribution.
10. High school mathematics foundation: binomial distribution and binomial theorem. mp4
11. High school mathematics foundation: limit and criterion of sequence. mp4
12. High school mathematics foundation: the limit of function and the origin of the natural constant e.mp4.
13. High school mathematics foundation: derivative of function and derivative formula that must be mastered mp4
14. Foundation of Advanced Mathematics: Application of Derivative 1: Monotonicity, Concave convex, Extreme Value, mp4
15. Foundation of Advanced Mathematics: Application of Derivative 2: Finding Extreme Value and Maximum Value.mp4
16. Foundation of Advanced Mathematics: Application of Derivatives 3: Taylor Taylor formula.mp4
17. Foundation of Advanced Mathematics: Application of Taylor Taylor Formula
18. Foundation of Advanced Mathematics: concept and limit of multivariate function. mp4
19. Fundamentals of Advanced Mathematics: partial derivatives and directionsderivative.mp4.
20. Foundation of Advanced Mathematics: Calculation of Directional Derivatives and Gradient.mp4
21. Foundation of Advanced Mathematics: Determine the reference and definition of Integral.mp4
22. Foundation of higher mathematics: the nature of the determined integer. mp4.
23. Foundation of Advanced Mathematics: Linear Algebra and Matrice1.mp4
24. Foundation of Advanced Mathematics: Matrix Operation and Determinant.mp4
25. Foundation of advanced mathematics: elementary transformation of matrix mp4
26. Foundation of advanced mathematics: calculate the rank of the matrix by elementary transformation of the matrix. mp4
27. Mathematical basis of AI: linear representation and linear correlation of vector groups mp4
28. Mathematical basis related to artificial intelligence: structure theorem of homogeneous and non-homogeneous linear equations.mp4 solutions
29. Mathematical basis related to artificial intelligence: eigenvalue and eigenvector.mp4.
30. Mathematical basis of AI: orthogonal matrix and matrix. mp4 QR decomposition
31. Mathematical basis of artificial intelligence: preliminary research on vector derivative and probability theory. mp4
32. Mathematical basis of artificial intelligence: joint probability, conditional probability and total probability formula. mp4
33. Mathematical basis related to artificial intelligence: thorough understanding of Bayesian formula (probability formula) mp4
34. Mathematical basis of AI: random variables and common discrete types and their distribution.
35. Mathematical basis of AI: Poisson distribution, geometric distribution and hypergeometric distribution. mp4
36. Mathematical basis of AI: continuous uniform distribution, exponential distribution, normal distribution, etc. mp4
37. Mathematical basis related to artificial intelligence: digital characteristics expectations and variance.mp4
38. Digital characteristics: standard deviation, covariance, correlation coefficient, central moment, origin moment, kurtosis, skewness and mp4
39. Relevant large number theorem and parameter estimation method: point estimation. Moment estimation. mp4
40. Parameter estimation method: maximum likelihood estimation.

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