Coursera - Introduction to Machine Learning 2024-3

04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.mp4

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01_simple-introduction-to-machine-learning/01_logistic-regression/01_course-information_instructions.html

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01_simple-introduction-to-machine-learning/01_logistic-regression/02_why-machine-learning-is-exciting_1.1.10_Why_Machine_Learning_is_Exciting.pdf

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01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning.en.srt

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01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning_1.1.15_What_is_Machine_Learning.pdf

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01_simple-introduction-to-machine-learning/01_logistic-regression/04_intro-to-machine-learning_quiz.html

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01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression.en.srt

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01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression.mp4

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01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression_1.1.20_Logistic_Regression.pdf

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01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression.en.srt

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01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression_1.1.30_Interpretatiof_Logistic_Regression.pdf

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01_simple-introduction-to-machine-learning/01_logistic-regression/07_math-for-data-science_instructions.html

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01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron.en.srt

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01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron_1.1.40_Motivation_for_Multilayer_Perceptron.pdf

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01_simple-introduction-to-machine-learning/01_logistic-regression/09_logistic-regression_quiz.html

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts_1.2.1_Multilayer_Perceptron_concepts.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/02_multilayer-perceptron-math-model_1.2.2_Multilayer_Perceptron_Math_Model.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/03_multilayer-perceptron_quiz.html

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning_1.2.3_Deep_Learning.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis_1.2.4_Example_Document_Analysis.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron_1.2.5_Interpretation_of_Multilayer_Perceptron.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.en.txt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning_1.2.6_Transfer_Learning.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/08_deep-learning_quiz.html

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection_1.2.7__Model_Selection.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/10_model-selection_quiz.html

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.en.srt

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.mp4

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks_1.2.8_Early_History_of_Neural_Netorks.pdf

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01_simple-introduction-to-machine-learning/02_multilayer-perceptron/12_history-of-neural-networks_quiz.html

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images_1.3.1_Hierarchical_Structure_of_Images.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.en.txt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters_1.3.2_Convolution_filter.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network_1.3.3_Convolutional_Neural_Network.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/04_cnn-concepts_quiz.html

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model_1.3.4_Convolutional_Neural_Network__Math_Model.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns_1.3.5_How_the_Model_Learns.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features.en.srt

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features.mp4

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features_1.3.6_Advantages_of_Hierarchical_Features.pdf

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01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/08_cnn-math-model_quiz.html

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.en.srt

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.mp4

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images_1.4.1_CNN_on_Real_Images.pdf

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice.en.srt

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice_1.4.2_Applicatrions_in_use_and_practice.pdf

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning.en.srt

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning_1.4.3_Deep_Learning_and_Transfer_Learning.pdf

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01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/05_week-1-comprehensive_exam.html

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01_simple-introduction-to-machine-learning/05_pytorch-basics/01_introduction-to-pytorch.en.srt

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01_simple-introduction-to-machine-learning/05_pytorch-basics/01_introduction-to-pytorch.mp4

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02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.en.srt

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02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks_2.1.20_How_do_we_evaluate_our_networkds.pdf

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02_basics-of-model-learning/01_logistic-regression-as-running-example/03_lesson-one_quiz.html

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02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network_2.2.10_How_do_we_learn_our_network.pdf

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02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data_2.2.20_How_do_we_handle_big_data.pdf

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02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping.mp4

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02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping_2.2.30_Early_Stopping.pdf

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02_basics-of-model-learning/02_learning-via-gradient-descent/04_lesson-2_quiz.html

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02_basics-of-model-learning/03_model-learning-with-pytorch/01_week-2-comprehensive_exam.html

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03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy.en.srt

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03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy.mp4

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03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy_3.1.10_Motivation_Diabetic_Retinopathy.pdf

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03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/02_breakdown-of-the-convolution-1d-and-2d.en.srt

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03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/02_activation-functions_3.2.30_Activations_Functions.pdf

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03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/04_lesson-2_quiz.html

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03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/01_training-the-network_3.3.10_Training_the_Network.pdf

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03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/02_transfer-learning-and-fine-tuning_3.3.20_Transfer_Learning_and_Fine-Tuning.pdf

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