Machine Learning Specialization | 1C6FE20E31AFAB2F041D8BC4299B968B95EEE660

Machine Learning Specialization

Name	Machine Learning Specialization	DOWNLOAD Copy Link
Total Size	14.1 GB
Total Files	2880
Last Seen	2025-02-17 23:30
Hash	1C6FE20E31AFAB2F041D8BC4299B968B95EEE660

/.../04_conversations-with-andrew-optional/
01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4	247.6 MB
01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt	40.8 KB
01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt	65.5 KB
/
TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../01_neural-networks-learning-very-non-linear-features/
01_slides-presented-in-this-module_LM-3dtexton.pdf	1.9 MB
01_slides-presented-in-this-module_eccv06.pdf	723.4 KB
02_searching-for-images-a-case-study-in-deep-learning.mp4	1.8 MB
01_slides-presented-in-this-module_instructions.html	3.2 KB
01_slides-presented-in-this-module_imagenet.pdf	1.4 MB
01_slides-presented-in-this-module_iccv99.pdf	577.9 KB
01_slides-presented-in-this-module_Dalal-cvpr05.pdf	456.1 KB
04_learning-very-non-linear-features-with-neural-networks.en.srt	13.9 KB
04_learning-very-non-linear-features-with-neural-networks.en.txt	8.6 KB
04_learning-very-non-linear-features-with-neural-networks.mp4	34.4 MB
03_what-is-a-visual-product-recommender.en.srt	5.8 KB
03_what-is-a-visual-product-recommender.en.txt	3.5 KB
02_searching-for-images-a-case-study-in-deep-learning.en.srt	0.6 KB
02_searching-for-images-a-case-study-in-deep-learning.en.txt	0.3 KB
03_what-is-a-visual-product-recommender.mp4	17.5 MB
01_slides-presented-in-this-module_deeplearning-annotated.pdf	11.4 MB
01_slides-presented-in-this-module_johnson_andrew_1997_3.pdf	9.3 MB
01_slides-presented-in-this-module_mikolajczyk_pami05.pdf	2.1 MB
/.../01_neural-networks-intuition/
01_welcome.en.txt	2.9 KB
03_demand-prediction.en.srt	27.2 KB
02_neurons-and-the-brain.en.srt	18.7 KB
03_demand-prediction.en.txt	14.3 KB
04_example-recognizing-images.en.srt	10.4 KB
02_neurons-and-the-brain.en.txt	9.7 KB
01_welcome.en.srt	5.5 KB
04_example-recognizing-images.en.txt	5.5 KB
02_neurons-and-the-brain.mp4	28.2 MB
03_demand-prediction.mp4	25.4 MB
04_example-recognizing-images.mp4	15.3 MB
01_welcome.mp4	11.2 MB
/.../06_programming-assignment/
01_predicting-house-prices-using-k-nearest-neighbors-regression_numpy.argsort.html	39.8 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_home_data_small.sframe.zip	396.1 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_kc_house_data_small_train.csv.zip	175.8 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_kc_house_data_small.csv.zip	275.7 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_instructions.html	20.4 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_kc_house_data_small_test.csv.zip	56.5 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_kc_house_data_small_validation.csv.zip	46.8 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_numpy.ndarray.shape.html	7.4 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_REG06-NB01.ipynb.zip	5.4 KB
01_predicting-house-prices-using-k-nearest-neighbors-regression_numpy-tutorial-py3.ipynb.zip	3.0 KB
/.../01_defining-how-we-assess-performance/
02_assessing-performance-intro.en.txt	0.5 KB
02_assessing-performance-intro.mp4	1.9 MB
02_assessing-performance-intro.en.srt	0.8 KB
03_what-do-we-mean-by-loss.en.srt	6.3 KB
03_what-do-we-mean-by-loss.en.txt	3.9 KB
01_slides-presented-in-this-module_instructions.html	1.2 KB
03_what-do-we-mean-by-loss.mp4	14.5 MB
01_slides-presented-in-this-module_week3_assessingperformance-annotated.pdf	7.2 MB
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/.../05_conversations-with-andrew-optional/
01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.mp4	241.9 MB
01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.txt	32.5 KB
01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt	51.8 KB
/.../04_scaling-up-k-nn-search-using-kd-trees/
07_optional-a-worked-out-example-for-kd-trees_instructions.html	1.3 MB
02_kd-tree-representation.en.srt	10.4 KB
06_approximate-k-nn-search-using-kd-trees.en.srt	10.0 KB
03_nn-search-with-kd-trees.en.srt	8.7 KB
01_complexity-of-brute-force-search.en.srt	2.7 KB
01_complexity-of-brute-force-search.en.txt	1.7 KB
04_complexity-of-nn-search-with-kd-trees.en.srt	6.6 KB
02_kd-tree-representation.en.txt	6.5 KB
06_approximate-k-nn-search-using-kd-trees.en.txt	6.3 KB
05_visualizing-scaling-behavior-of-kd-trees.en.srt	5.5 KB
03_nn-search-with-kd-trees.en.txt	5.0 KB
04_complexity-of-nn-search-with-kd-trees.en.txt	4.1 KB
05_visualizing-scaling-behavior-of-kd-trees.en.txt	3.5 KB
06_approximate-k-nn-search-using-kd-trees.mp4	24.1 MB
02_kd-tree-representation.mp4	23.7 MB
03_nn-search-with-kd-trees.mp4	17.0 MB
04_complexity-of-nn-search-with-kd-trees.mp4	14.2 MB
05_visualizing-scaling-behavior-of-kd-trees.mp4	10.6 MB
01_complexity-of-brute-force-search.mp4	6.2 MB
/.../06_programming-assignment/
01_predicting-sentiment-from-product-reviews_sklearn.linear_model.LogisticRegression.html	84.6 KB
01_predicting-sentiment-from-product-reviews_amazon_baby.gl.zip	42.3 MB
01_predicting-sentiment-from-product-reviews_amazon_baby.sframe.zip	42.3 MB
01_predicting-sentiment-from-product-reviews_module-2-assignment-train-idx.json.zip	167.8 KB
01_predicting-sentiment-from-product-reviews_module-2-assignment-test-idx.json.zip	47.8 KB
01_predicting-sentiment-from-product-reviews_instructions.html	25.5 KB
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