Artificial Intelligence Treasure Adventure: AI Secrets

سرفصل های دوره

Unveiling the Elegance of Machine/Deep Learning

1 - Introduction Of The Course

1 - Course Structure

2 - Linear Algebra For Machine Learning

1 - L2 Norms exercise.html

2 - Vectors and Matrices Scalar Vector Matrix Tensor

3 - Vector Operations

4 - Matrix Operations

5 - Norms in ML

6 - Linear Map And Linear Transformation

7 - Eigenvalues and Eigenvectors

8 - Principal Component Analysis

9 - LU Decomposition

10 - QR Decomposition and GramSchmid Process

3 - Calculus And Optimizations

2 - Derivatives Quiz.html

3 - Integration.html

11 - Basics of Calculus Derivatives and Partial Derivatives

12 - Gradients and Directional Derivatives

13 - Integration Double Triple integrals

14 - Local And Global MinimaMaxima

15 - Gradient Descent And Stochastic Gradient Descent

16 - Newtons Method And Conjugate Gradient Descent

17 - Regularization Techniques L1 L2 Elastic Net

4 - Probability and Statistics for Machine Learning

4 - Bayes Theorem.html

18 - Random Variables and Probability Distributions

19 - Joint Marginal and Conditional Distribution

20 - Hypothesis Testing

21 - Confidence Intervals

22 - Maximum Likelihood Estimation MLE and Bayesian Estimation

23 - Naive Bayes Classifier

24 - Gaussian Mixture Models GMMs

25 - Hidden Markov Models HMMs

5 - Multivariable Calculus and Gradient Based Optimizations

26 - Jacobian Matrices

27 - Chain Rule and HighOrder Derivatives

28 - Hessian Matrix and secondorder Conditions

29 - Backpropagation in Neural Network

30 - Vanishing And Exploding Gradients

31 - Optimizers Adam RMSProp SGD

6 - Linear Regression and Entropy

32 - Least Square Estimation

33 - Normal Equations and Matrix Formulations

34 - Polynomial Regression

35 - Shannon Entropy

36 - CrossEntropy Loss

37 - Kullback Leibler Divergence

7 - Neural Networks

38 - FeedForward Neural Networks FNNs

39 - Convolutional Neural Networks CNNs

40 - Recurrent Neural Network RNN

41 - Graph Theory And NN

42 - Autoencoders and Variational Autoencoders

43 - Generative Adversarial Networks GANs

8 - Advanced Topics in Machine Learning

44 - Image Classification and Object Detection

45 - Natural Language Processing NLP

46 - Reinforcement Learning

47 - Quantum Machine Learning

48 - PresentationAI.pdf

48 - Resources and Further Learning

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تولید کننده: Udemy