[FreeTutorials.Us] machine-learning-in-python-random-forest-adaboost
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2017-12-26 13:16 | 2024-9-29 05:15 | 96 | 399.79 MB | 34 |
迅雷链接
二维码链接
种子下载(838888不存储任何种子文件)
文件列表
- 01 Get Started/001 Outline and Motivation.mp47.19MB
- 01 Get Started/002 Where to get the Code and Data.mp43.35MB
- 01 Get Started/003 All Data is the Same.mp45.24MB
- 01 Get Started/004 Plug-and-Play.mp43.5MB
- 02 Bias-Variance Trade-Off/005 Bias-Variance Key Terms.mp410.23MB
- 02 Bias-Variance Trade-Off/006 Bias-Variance Trade-Off.mp44.89MB
- 02 Bias-Variance Trade-Off/007 Bias-Variance Decomposition.mp45.37MB
- 02 Bias-Variance Trade-Off/008 Polynomial Regression Demo.mp441.75MB
- 02 Bias-Variance Trade-Off/009 K-Nearest Neighbor and Decision Tree Demo.mp413.86MB
- 02 Bias-Variance Trade-Off/010 Cross-Validation as a Method for Optimizing Model Complexity.mp46.97MB
- 03 Bootstrap Estimates and Bagging/011 Bootstrap Estimation.mp415.17MB
- 03 Bootstrap Estimates and Bagging/012 Bootstrap Demo.mp410.95MB
- 03 Bootstrap Estimates and Bagging/013 Bagging.mp43.92MB
- 03 Bootstrap Estimates and Bagging/014 Bagging Regression Trees.mp415.87MB
- 03 Bootstrap Estimates and Bagging/015 Bagging Classification Trees.mp420.31MB
- 03 Bootstrap Estimates and Bagging/016 Stacking.mp46.07MB
- 04 Random Forest/017 Random Forest Algorithm.mp414.42MB
- 04 Random Forest/018 Random Forest Regressor.mp414.89MB
- 04 Random Forest/019 Random Forest Classifier.mp412.58MB
- 04 Random Forest/020 Random Forest vs Bagging Trees.mp47.82MB
- 04 Random Forest/021 Implementing a Not as Random Forest.mp48.69MB
- 04 Random Forest/022 Connection to Deep Learning Dropout.mp44.22MB
- 05 AdaBoost/023 AdaBoost Algorithm.mp410.88MB
- 05 AdaBoost/024 Additive Modeling.mp42.78MB
- 05 AdaBoost/025 AdaBoost Loss Function Exponential Loss.mp411.18MB
- 05 AdaBoost/026 AdaBoost Implementation.mp415.78MB
- 05 AdaBoost/027 Comparison to Stacking.mp45.44MB
- 05 AdaBoost/028 Connection to Deep Learning.mp46.03MB
- 05 AdaBoost/029 Summary and Whats Next.mp47.37MB
- 06 Appendix/030 Confidence Intervals.mp415.81MB
- 06 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
- 06 Appendix/032 How to Code by Yourself part 1.mp424.53MB
- 06 Appendix/033 How to Code by Yourself part 2.mp414.8MB
- 06 Appendix/034 BONUS Where to get Udemy coupons and FREE deep learning material.mp44.02MB
友情提示
不会用的朋友看这里
把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！
亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！
违规内容投诉邮箱：[email protected]
概述
838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题
它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息
838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪
838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统