[] from-0-1-machine-learning 收录时间:2018-02-24 22:01:05 文件大小:10GB 下载次数:222 最近下载:2021-01-16 03:42:09 磁力链接: magnet:?xt=urn:btih:8d94d5b14af768dcc0370b3cb61cc7688dabbc57 立即下载 复制链接 文件列表 08-natural-language-processing-and-python/034-put-it-to-work-news-article-classification-using-knearest-neighbors.mp4 208MB 09-sentiment-analysis/050-twitter-sentiment-analysis-work-the-api.mp4 206MB 10-decision-trees/056-branching-out-information-gain.mp4 202MB 08-natural-language-processing-and-python/035-put-it-to-work-news-article-classification-using-naive-bayes-classifier.mp4 202MB 12-random-forests/068-back-on-the-titanic-cross-validation-and-random-forests.mp4 201MB 08-natural-language-processing-and-python/033-python-drill-autosummarize-news-articles-iii.mp4 198MB 13-recommendation-systems/076-discover-the-underlying-truth-latent-factor-collaborative-filtering.mp4 197MB 04-clustering-as-a-form-of-unsupervised-learning/018-clustering-introduction.mp4 189MB 09-sentiment-analysis/052-twitter-sentiment-analysis-naive-bayes-svm-and-sentiwordnet.mp4 183MB 11-a-few-useful-things-to-know-about-overfitting/066-ensemble-learning-continued-bagging-boosting-and-stacking.mp4 182MB 13-recommendation-systems/079-the-apriori-algorithm-for-association-rules.mp4 181MB 09-sentiment-analysis/045-ml-solutions-for-sentiment-analysis-the-devil-is-in-the-details.mp4 174MB 03-solving-classification-problems/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick.mp4 173MB 06-dimensionality-reduction/022-principal-component-analysis.mp4 173MB 13-recommendation-systems/070-what-do-amazon-and-netflix-have-in-common.mp4 170MB 14-recommendation-systems-in-python/086-code-along-movie-recommendations-with-matrix-factorization.mp4 166MB 10-decision-trees/055-growing-the-tree-decision-tree-learning.mp4 161MB 14-recommendation-systems-in-python/084-code-along-movie-recommendation-with-nearest-neighbour-cf.mp4 159MB 13-recommendation-systems/074-a-neighbourhood-model-for-collaborative-filtering.mp4 159MB 09-sentiment-analysis/044-sentiment-analysis-whats-all-the-fuss-about.mp4 156MB 09-sentiment-analysis/046-sentiment-lexicons-with-an-introduction-to-wordnet-and-sentiwordnet.mp4 156MB 03-solving-classification-problems/014-knearest-neighbors-a-few-wrinkles.mp4 154MB 09-sentiment-analysis/047-regular-expressions.mp4 154MB 11-a-few-useful-things-to-know-about-overfitting/061-overfitting-the-bane-of-machine-learning.mp4 152MB 08-natural-language-processing-and-python/029-web-scraping-with-beautifulsoup.mp4 151MB 09-sentiment-analysis/049-put-it-to-work-twitter-sentiment-analysis.mp4 149MB 11-a-few-useful-things-to-know-about-overfitting/063-cross-validation.mp4 145MB 11-a-few-useful-things-to-know-about-overfitting/065-the-wisdom-of-crowds-ensemble-learning.mp4 143MB 04-clustering-as-a-form-of-unsupervised-learning/019-clustering-kmeans-and-dbscan.mp4 142MB 13-recommendation-systems/077-latent-factor-collaborative-filtering-contd..mp4 142MB 08-natural-language-processing-and-python/041-put-it-to-work-news-article-clustering-with-kmeans-and-tfidf.mp4 141MB 07-regression-as-a-form-of-supervised-learning/023-regression-introduced-linear-and-logistic-regression.mp4 141MB 10-decision-trees/054-planting-the-seed-what-are-decision-trees.mp4 137MB 08-natural-language-processing-and-python/036-python-drill-scraping-news-websites.mp4 133MB 14-recommendation-systems-in-python/082-movielens-and-pandas.mp4 128MB 14-recommendation-systems-in-python/080-back-to-basics-numpy-in-python.mp4 123MB 08-natural-language-processing-and-python/030-a-serious-nlp-application-text-auto-summarization-using-python.mp4 121MB 08-natural-language-processing-and-python/032-python-drill-autosummarize-news-articles-ii.mp4 121MB 03-solving-classification-problems/017-artificial-neural-networksperceptrons-introduced.mp4 118MB 08-natural-language-processing-and-python/028-natural-language-processing-with-nltk-see-it-in-action.mp4 118MB 15-a-taste-of-deep-learning-and-computer-vision/088-computer-vision-an-introduction.mp4 117MB 08-natural-language-processing-and-python/037-python-drill-feature-extraction-with-nltk.mp4 115MB 10-decision-trees/058-titanic-decision-trees-predict-survival-kaggle-i.mp4 114MB 15-a-taste-of-deep-learning-and-computer-vision/092-code-along-handwritten-digit-recognition-ii.mp4 114MB 03-solving-classification-problems/013-knearest-neighbors.mp4 112MB 07-regression-as-a-form-of-supervised-learning/024-bias-variance-tradeoff.mp4 111MB 09-sentiment-analysis/051-twitter-sentiment-analysis-regular-expressions-for-preprocessing.mp4 109MB 08-natural-language-processing-and-python/031-python-drill-autosummarize-news-articles-i.mp4 108MB 13-recommendation-systems/072-what-are-you-made-of-contentbased-filtering.mp4 107MB 08-natural-language-processing-and-python/040-document-distance-using-tfidf.mp4 107MB 12-random-forests/067-random-forests-much-more-than-trees.mp4 104MB 15-a-taste-of-deep-learning-and-computer-vision/089-perceptron-revisited.mp4 103MB 15-a-taste-of-deep-learning-and-computer-vision/091-code-along-handwritten-digit-recognition-i.mp4 102MB 15-a-taste-of-deep-learning-and-computer-vision/090-deep-learning-networks-introduced.mp4 102MB 06-dimensionality-reduction/021-dimensionality-reduction.mp4 98MB 13-recommendation-systems/071-recommendation-engines-a-look-inside.mp4 98MB 11-a-few-useful-things-to-know-about-overfitting/062-overfitting-continued.mp4 98MB 13-recommendation-systems/075-top-picks-for-you-recommendations-with-neighbourhood-models.mp4 97MB 13-recommendation-systems/073-with-a-little-help-from-friends-collaborative-filtering.mp4 97MB 10-decision-trees/059-titanic-decision-trees-predict-survival-kaggle-ii.mp4 96MB 05-association-detection/020-association-rules-learning.mp4 95MB 03-solving-classification-problems/015-support-vector-machines-introduced.mp4 92MB 08-natural-language-processing-and-python/attached_files/026-installing-python-anaconda-and-pip/ML-materials.zip 87MB 14-recommendation-systems-in-python/081-back-to-basics-numpy-and-scipy-in-python.mp4 85MB 08-natural-language-processing-and-python/027-natural-language-processing-with-nltk.mp4 76MB 10-decision-trees/060-titanic-decision-trees-predict-survival-kaggle-iii.mp4 76MB 13-recommendation-systems/078-gray-sheep-and-shillings-challenges-with-collaborative-filtering.mp4 72MB 10-decision-trees/057-decision-tree-algorithms.mp4 66MB 14-recommendation-systems-in-python/085-code-along-top-movie-picks-nearest-neighbour-cf.mp4 56MB 08-natural-language-processing-and-python/039-python-drill-classification-with-naive-bayes.mp4 56MB 08-natural-language-processing-and-python/042-python-drill-clustering-with-k-means.mp4 54MB 09-sentiment-analysis/043-solve-sentiment-analysis-using-machine-learning.mp4 54MB 14-recommendation-systems-in-python/087-code-along-association-rules-with-the-apriori-algorithm.mp4 49MB 11-a-few-useful-things-to-know-about-overfitting/064-simplicity-is-a-virtue-regularization.mp4 48MB 09-sentiment-analysis/048-regular-expressions-in-python.mp4 46MB 08-natural-language-processing-and-python/026-installing-python-anaconda-and-pip.mp4 39MB 03-solving-classification-problems/009-random-variables.mp4 35MB 15-a-taste-of-deep-learning-and-computer-vision/093-code-along-handwritten-digit-recognition-iii.mp4 34MB 02-jump-right-in-machine-learning-for-spam-detection/005-plunging-in-machine-learning-approaches-to-spam-detection.mp4 32MB 08-natural-language-processing-and-python/038-python-drill-classification-with-knn.mp4 31MB 02-jump-right-in-machine-learning-for-spam-detection/007-get-the-lay-of-the-land-types-of-machine-learning-problems.mp4 30MB 02-jump-right-in-machine-learning-for-spam-detection/006-spam-detection-with-machine-learning-continued.mp4 29MB 03-solving-classification-problems/012-naive-bayes-classifier-an-example.mp4 28MB 13-recommendation-systems/attached_files/070-what-do-amazon-and-netflix-have-in-common/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/071-recommendation-engines-a-look-inside/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/072-what-are-you-made-of-contentbased-filtering/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/073-with-a-little-help-from-friends-collaborative-filtering/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/074-a-neighbourhood-model-for-collaborative-filtering/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/075-top-picks-for-you-recommendations-with-neighbourhood-models/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/076-discover-the-underlying-truth-latent-factor-collaborative-filtering/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/077-latent-factor-collaborative-filtering-contd/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/078-gray-sheep-and-shillings-challenges-with-collaborative-filtering/Recommmenders.pdf 28MB 13-recommendation-systems/attached_files/079-the-apriori-algorithm-for-association-rules/Recommmenders.pdf 28MB 01-introduction/002-a-sneak-peek-at-whats-coming-up.mp4 27MB 14-recommendation-systems-in-python/083-code-along-whats-my-favorite-movie-data-analysis-with-pandas.mp4 26MB 03-solving-classification-problems/010-bayes-theorem.mp4 25MB 02-jump-right-in-machine-learning-for-spam-detection/004-machine-learning-why-should-you-jump-on-the-bandwagon.mp4 22MB 10-decision-trees/attached_files/055-growing-the-tree-decision-tree-learning/Decision-Trees.pdf 19MB 10-decision-trees/attached_files/056-branching-out-information-gain/Decision-Trees.pdf 19MB 10-decision-trees/attached_files/057-decision-tree-algorithms/Decision-Trees.pdf 19MB 03-solving-classification-problems/011-naive-bayes-classifier.mp4 16MB 01-introduction/001-you-this-course-and-us.mp4 15MB 02-jump-right-in-machine-learning-for-spam-detection/003-solving-problems-with-computers.mp4 14MB 15-a-taste-of-deep-learning-and-computer-vision/attached_files/088-computer-vision-an-introduction/DEEP-LEARNING.pdf 9MB 15-a-taste-of-deep-learning-and-computer-vision/attached_files/089-perceptron-revisited/DEEP-LEARNING.pdf 9MB 15-a-taste-of-deep-learning-and-computer-vision/attached_files/090-deep-learning-networks-introduced/DEEP-LEARNING.pdf 9MB 13-recommendation-systems/069-solving-recommendation-problems.mp4 7MB 08-natural-language-processing-and-python/025-applying-ml-to-natural-language-processing.mp4 6MB 10-decision-trees/053-using-tree-based-models-for-classification.mp4 6MB 03-solving-classification-problems/008-solving-classification-problems.mp4 6MB 04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Clustering-copy.pdf 3MB 04-clustering-as-a-form-of-unsupervised-learning/attached_files/019-clustering-kmeans-and-dbscan/Clustering-copy.pdf 3MB 09-sentiment-analysis/attached_files/044-sentiment-analysis-whats-all-the-fuss-about/SENTIMENT-ANALYSIS-copy.pdf 3MB 09-sentiment-analysis/attached_files/045-ml-solutions-for-sentiment-analysis-the-devil-is-in-the-details/SENTIMENT-ANALYSIS-copy.pdf 3MB 09-sentiment-analysis/attached_files/046-sentiment-lexicons-with-an-introduction-to-wordnet-and-sentiwordnet/SENTIMENT-ANALYSIS-copy.pdf 3MB 09-sentiment-analysis/attached_files/047-regular-expressions/SENTIMENT-ANALYSIS-copy.pdf 3MB 09-sentiment-analysis/attached_files/048-regular-expressions-in-python/SENTIMENT-ANALYSIS-copy.pdf 3MB 09-sentiment-analysis/attached_files/049-put-it-to-work-twitter-sentiment-analysis/SENTIMENT-ANALYSIS-copy.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/061-overfitting-the-bane-of-machine-learning/Overfitting.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/062-overfitting-continued/Overfitting.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/063-cross-validation/Overfitting.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/064-simplicity-is-a-virtue-regularization/Overfitting.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/065-the-wisdom-of-crowds-ensemble-learning/Overfitting.pdf 3MB 11-a-few-useful-things-to-know-about-overfitting/attached_files/066-ensemble-learning-continued-bagging-boosting-and-stacking/Overfitting.pdf 3MB 12-random-forests/attached_files/067-random-forests-much-more-than-trees/Overfitting.pdf 3MB 02-jump-right-in-machine-learning-for-spam-detection/attached_files/007-get-the-lay-of-the-land-types-of-machine-learning-problems/ml-problems.pdf 2MB 03-solving-classification-problems/attached_files/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick/Svm-2.pdf 2MB 03-solving-classification-problems/attached_files/012-naive-bayes-classifier-an-example/Nb-2.pdf 2MB 03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-1.pdf 1MB 03-solving-classification-problems/attached_files/011-naive-bayes-classifier/Nb-1.pdf 1MB 08-natural-language-processing-and-python/attached_files/040-document-distance-using-tfidf/tf-idf.pdf 1MB 07-regression-as-a-form-of-supervised-learning/attached_files/023-regression-introduced-linear-and-logistic-regression/regression.pdf 1MB 08-natural-language-processing-and-python/attached_files/034-put-it-to-work-news-article-classification-using-knearest-neighbors/textscraping.pdf 1MB 04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Ml-Clustering.pdf 951KB 03-solving-classification-problems/attached_files/009-random-variables/Random-Variable.pdf 950KB 08-natural-language-processing-and-python/attached_files/041-put-it-to-work-news-article-clustering-with-kmeans-and-tfidf/kmeans.pdf 939KB 03-solving-classification-problems/attached_files/010-bayes-theorem/Bayes-Theorem.pdf 922KB 06-dimensionality-reduction/attached_files/021-dimensionality-reduction/Dimensionality-Reduction.pdf 912KB 03-solving-classification-problems/attached_files/014-knearest-neighbors-a-few-wrinkles/Knn-2.pdf 903KB 08-natural-language-processing-and-python/attached_files/030-a-serious-nlp-application-text-auto-summarization-using-python/autosummarize.pdf 888KB 06-dimensionality-reduction/attached_files/022-principal-component-analysis/Ml-Pca.pdf 881KB 08-natural-language-processing-and-python/attached_files/034-put-it-to-work-news-article-classification-using-knearest-neighbors/knn.pdf 874KB 02-jump-right-in-machine-learning-for-spam-detection/attached_files/006-spam-detection-with-machine-learning-continued/ml-intro-3.pdf 872KB 03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-2.pdf 848KB 03-solving-classification-problems/attached_files/015-support-vector-machines-introduced/Svm-1.pdf 837KB 05-association-detection/attached_files/020-association-rules-learning/Ml-Association-Rules.pdf 825KB 03-solving-classification-problems/attached_files/013-knearest-neighbors/Knn-1.pdf 816KB 02-jump-right-in-machine-learning-for-spam-detection/attached_files/004-machine-learning-why-should-you-jump-on-the-bandwagon/Ml-Intro-1.pdf 773KB 02-jump-right-in-machine-learning-for-spam-detection/attached_files/005-plunging-in-machine-learning-approaches-to-spam-detection/Ml-Intro-2.pdf 757KB 08-natural-language-processing-and-python/attached_files/035-put-it-to-work-news-article-classification-using-naive-bayes-classifier/NaiveBayes.pdf 752KB 07-regression-as-a-form-of-supervised-learning/attached_files/024-bias-variance-tradeoff/Bias-Variance.pdf 361KB 08-natural-language-processing-and-python/attached_files/031-python-drill-autosummarize-news-articles-i/iPythonML.zip 115KB 14-recommendation-systems-in-python/attached_files/082-movielens-and-pandas/Recommendations-Python3.py 18KB 14-recommendation-systems-in-python/attached_files/083-code-along-whats-my-favorite-movie-data-analysis-with-pandas/Recommendations-Python3.py 18KB 14-recommendation-systems-in-python/attached_files/084-code-along-movie-recommendation-with-nearest-neighbour-cf/Recommendations-Python3.py 18KB 14-recommendation-systems-in-python/attached_files/085-code-along-top-movie-picks-nearest-neighbour-cf/Recommendations-Python3.py 18KB 14-recommendation-systems-in-python/attached_files/086-code-along-movie-recommendations-with-matrix-factorization/Recommendations-Python3.py 18KB 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