算法：我对流行的计算机科学的重新实现机器学习算法
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2021-03-02
18:47:59
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algorithms-master.zip （68个子文件） 
algorithms-master connected_components_spark 
ccf_spark.py 3KB
README.txt 703B lstm README.md 535B hausdorff_distance change_point_detection.py 0B distance.py 0B connected_components 
img.png 3KB connected_components.ipynb 21KB a.png 24KB kmeans data.csv 72KB cpp kmeans.cpp 4KB kmeans 27KB Makefile 49B clusters.csv 83KB visualize.py 286B kmeans.py 2KB generate_data.py 307B linear_regression README.md 260B fit_model.py 1KB kelly_criterion simulate.py 2KB README.md 327B information_retrieval_eval evaluation_metrics.ipynb 4KB tSNE quadtree.py 4KB tSNE.py 1KB README.md 538B vptree.py 4KB union_find unionfind.ipynb 2KB sparse_matrix_mul .ipynb_checkpoints SpMxV_bench-checkpoint.ipynb 149KB SpMxV_bench.ipynb 143KB jacard_similarity jacard.py 483B convolution benchmarks.py 1KB conv.cpp 3KB conv.pyx 0B Makefile 252B notes.txt 72B conv.py 3KB sliding_window sliding.py 269B quicksort quicksort.py 382B quicksort.hs 291B vptree README.md 174B vptree.py 4KB README.md 81B minhash minhash.py 2KB
cikm2011.pdf 260KB paper570.pdf 250KB minhash.pdf 322KB cmsoft.pdf 133KB lecture1.pdf 94KB sketches.pdf 883KB djb2-hash djb2.o 2KB djb2.c 363B libdjb2.so 4KB Makefile 126B README 0B hashfunctions.pdf 56KB fibonacci fib.c 393B fib 9KB fib.cpp 393B .gitignore 25B rnn 4_basic_rnn.py 6KB debugger.pyc 837B datasets.pyc 1KB plotter.pyc 3KB learning_curve.txt 436KB stats.py 494B char_rnn char_rnn_keras.ipynb 10KB char_rnn_tf.ipynb 7KB tfidf tfidf.py 866B finance finance.py 744B
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