数据沙盘 machine-learning 返回
项目作者： iampukar

项目描述 ：
Here's my solution to the problems from Machine Learning Specialisation by University of Washington through Coursera
高级语言： Jupyter Notebook
项目地址: git://github.com/iampukar/machine-learning.git
创建时间： 2017-08-17T19:00:57Z
项目社区：https://github.com/iampukar/machine-learning
开源协议：
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decision-trees-annotated_1649217795279.pdf
decision-trees-missing-values-annotated_1649217795973.pdf
decision-trees-overfitting-annotated_1649217796135.pdf
boosting-annotated_1649217797229.pdf
precision-recall_1649217799283.pdf
online-learning-annotated_1649217799882.pdf
regression_intro_1649217811647.pdf
week1_simpleregression-annotated_1649217812462.pdf
week2_multipleregression-annotated_1649217813358.pdf
week3_assessingperformance-annotated_1649217814041.pdf
week4_ridgeregression-annotated_1649217814410.pdf
week5_lassoregression-annotated_1649217814693.pdf
week6_NNkernelregression-annotated_1649217815057.pdf
regression-intro-annotated_1649217778699.pdf
classification-annotated_1649217780702.pdf
clustering-intro-annotated_1649217781426.pdf
recommenders-intro-annotated_1649217784363.pdf
GLOH [Mikolajczyk & Schmid '05]_1649217786410.pdf
HoG [Dalal & Triggs '05]_1649217786755.pdf
ImageNet [Krizhevsky '12]_1649217786931.pdf
RIFT [Lazebnik '04]_1649217787190.pdf
SIFT [Lowe '99]_1649217787438.pdf
SURF [Bay et al. '06]_1649217787551.pdf
Textons [Malik et al. '99]_1649217787689.pdf
closing_1649217788334.pdf
deeplearning-annotated_1649217789231.pdf
intro_1649217793310.pdf
logistic-regression-model-annotated_1649217793986.pdf
logistic-regression-learning-annotated_1649217794882.pdf
logistic-regression-overfitting-annotated_1649217795106.pdf