How to Make Data Amazing - Intro to Deep Learning #5

How to Make Data Amazing - Intro to Deep Learning #5

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Siraj Raval • 43K views

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Math topics:
_Matrices_##Matrices##_Transpose_##Transpose##_Covariance_matrix_##Covariance matrix##_Matrix_(mathematics)_##Matrix (mathematics)##_Analytic_geometry_##Analytic geometry##_Dot_product_##Dot product##_Scalar_(mathematics)_##Scalar (mathematics)##_Three-dimensional_space_(mathematics)_##Three-dimensional space (mathematics)##_Estimation_theory_##Estimation theory##_Outlier_##Outlier##_Regression_analysis_##Regression analysis##_Projection_matrix_##Projection matrix##_Algebra_##Algebra##_Eigendecomposition_of_a_matrix_##Eigendecomposition of a matrix##_Binary_operation_##Binary operation##_Eigenvalues_and_eigenvectors_##Eigenvalues and eigenvectors
Other topics:
_Machine_learning_##Machine learning##_Scikit-learn_##Scikit-learn##_Feature_engineering_##Feature engineering##_Principal_component_analysis_##Principal component analysis##_Dimensionality_reduction_##Dimensionality reduction##_Computer_data_##Computer data##_Comma-separated_values_##Comma-separated values##_Data_##Data##_Data_set_##Data set##_Artificial_neural_networks_##Artificial neural networks##_Deep_learning_##Deep learning##_Artificial_neural_network_##Artificial neural network##_TensorFlow_##TensorFlow
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