zhongziso种子搜
首页
功能
磁力转BT
BT转磁力
使用教程
免责声明
关于
zhongziso
搜索
Machine Learning and AI Foundations - Classification Modeling
magnet:?xt=urn:btih:c603ecb0f78ac9b38623bbfde6e1ba46fc06fac5&dn=Machine Learning and AI Foundations - Classification Modeling
磁力链接详情
Hash值:
c603ecb0f78ac9b38623bbfde6e1ba46fc06fac5
点击数:
109
文件大小:
249.75 MB
文件数量:
31
创建日期:
2018-12-24 09:00
最后访问:
2024-5-29 11:09
访问标签:
Machine
Learning
and
AI
Foundations
-
Classification
Modeling
文件列表详情
4.3. Algorithms on Parade/18.Logistic regression.mp4 24.63 MB
1.Introduction/01.Classification problems in machine learning.mp4 3.9 MB
1.Introduction/02.What you should know.mp4 3.64 MB
1.Introduction/03.Defining terms.mp4 4.95 MB
2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp4 3.21 MB
2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp4 8.94 MB
2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp4 6.66 MB
2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp4 8.53 MB
2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp4 6.68 MB
2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp4 4.87 MB
3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp4 5.46 MB
3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp4 3.37 MB
3.2. How Do I Choose a 'Winner'/12.Gains tables.mp4 4.46 MB
3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp4 6.07 MB
4.3. Algorithms on Parade/14.Overview.mp4 3.56 MB
4.3. Algorithms on Parade/15.Discriminant with three categories.mp4 12.15 MB
4.3. Algorithms on Parade/16.Discriminant with two categories.mp4 8.81 MB
4.3. Algorithms on Parade/17.Stepwise discriminant.mp4 1.76 MB
4.3. Algorithms on Parade/19.Stepwise logistic regression.mp4 1.74 MB
4.3. Algorithms on Parade/20.Decision Trees.mp4 9.24 MB
4.3. Algorithms on Parade/21.KNN.mp4 8.88 MB
4.3. Algorithms on Parade/22.Linear SVM.mp4 13.31 MB
4.3. Algorithms on Parade/23.Neural nets.mp4 14.87 MB
4.3. Algorithms on Parade/24.Bayesian networks.mp4 17.7 MB
4.3. Algorithms on Parade/25.Ensembles.mp4 9.42 MB
5.4. Common Modeling Challenges/26.Imbalanced target categories.mp4 5.83 MB
5.4. Common Modeling Challenges/27.Interactions.mp4 8.24 MB
5.4. Common Modeling Challenges/28.Missing data.mp4 6.67 MB
5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp4 11.2 MB
5.4. Common Modeling Challenges/30.Data reduction.mp4 15.34 MB
6.Conclusion/31.Next steps.mp4 5.65 MB
其他位置