A Friendly Introduction to Machine Learning

A Friendly Introduction to Machine Learning

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Luis Serrano • 434K views

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Math topics:
_Estimation_theory_##Estimation theory##_Errors_and_residuals_##Errors and residuals##_Regression_analysis_##Regression analysis##_Linear_regression_##Linear regression##_Logistic_regression_##Logistic regression##_Analytic_geometry_##Analytic geometry##_Line_(geometry)_##Line (geometry)##_Coordinate_system_##Coordinate system##_Cartesian_coordinate_system_##Cartesian coordinate system##_Theoretical_computer_science_##Theoretical computer science##_Artificial_neural_network_##Artificial neural network##_Algorithm_##Algorithm##_Graph_(discrete_mathematics)_##Graph (discrete mathematics)##_Iterative_methods_##Iterative methods##_Least_squares_##Least squares##_Gradient_descent_##Gradient descent##_Iterative_method_##Iterative method
Other topics:
_Machine_learning_##Machine learning##_K-means_clustering_##K-means clustering##_Machine_learning_##Machine learning##_Loss_function_##Loss function##_Classification_algorithms_##Classification algorithms##_Naive_Bayes_classifier_##Naive Bayes classifier##_Support_vector_machine_##Support vector machine##_Kernel_method_##Kernel method##_Rainbow_##Rainbow##_Yellow_##Yellow##_Red_##Red##_Green_##Green
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