Machine Learning and AI Foundations - Classification Modeling -移花宫-武林禁地，闲人禁止入内

Machine Learning and AI Foundations - Classification Modeling

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Machine Learning and AI Foundations - Classification Modeling

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文件列表

4.3. Algorithms on Parade/18.Logistic regression.mp4 25.8 MB
1.Introduction/01.Classification problems in machine learning.mp4 4.1 MB
1.Introduction/02.What you should know.en.srt 2.5 kB
1.Introduction/02.What you should know.mp4 3.8 MB
1.Introduction/03.Defining terms.en.srt 5.1 kB
1.Introduction/03.Defining terms.mp4 5.2 MB
2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.en.srt 2.9 kB
2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp4 3.4 MB
2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.en.srt 5.5 kB
2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp4 9.4 MB
2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.en.srt 4.4 kB
2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp4 7.0 MB
2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.en.srt 3.8 kB
2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp4 8.9 MB
2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.en.srt 4.2 kB
2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp4 7.0 MB
2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.en.srt 2.4 kB
2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp4 5.1 MB
3.2. How Do I Choose a 'Winner'/10.Training and test partitions.en.srt 4.8 kB
3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp4 5.7 MB
3.2. How Do I Choose a 'Winner'/11.Lift Charts.en.srt 2.8 kB
3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp4 3.5 MB
3.2. How Do I Choose a 'Winner'/12.Gains tables.en.srt 3.5 kB
3.2. How Do I Choose a 'Winner'/12.Gains tables.mp4 4.7 MB
3.2. How Do I Choose a 'Winner'/13.Confusion matrix.en.srt 5.1 kB
3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp4 6.4 MB
4.3. Algorithms on Parade/14.Overview.en.srt 3.1 kB
4.3. Algorithms on Parade/14.Overview.mp4 3.7 MB
4.3. Algorithms on Parade/15.Discriminant with three categories.en.srt 9.4 kB
4.3. Algorithms on Parade/15.Discriminant with three categories.mp4 12.7 MB
4.3. Algorithms on Parade/16.Discriminant with two categories.en.srt 8.7 kB
4.3. Algorithms on Parade/16.Discriminant with two categories.mp4 9.2 MB
4.3. Algorithms on Parade/17.Stepwise discriminant.en.srt 1.7 kB
4.3. Algorithms on Parade/17.Stepwise discriminant.mp4 1.8 MB
4.3. Algorithms on Parade/18.Logistic regression.en.srt 17.3 kB
1.Introduction/01.Classification problems in machine learning.en.srt 2.2 kB
4.3. Algorithms on Parade/19.Stepwise logistic regression.en.srt 1.7 kB
4.3. Algorithms on Parade/19.Stepwise logistic regression.mp4 1.8 MB
4.3. Algorithms on Parade/20.Decision Trees.en.srt 6.7 kB
4.3. Algorithms on Parade/20.Decision Trees.mp4 9.7 MB
4.3. Algorithms on Parade/21.KNN.en.srt 6.3 kB
4.3. Algorithms on Parade/21.KNN.mp4 9.3 MB
4.3. Algorithms on Parade/22.Linear SVM.en.srt 12.6 kB
4.3. Algorithms on Parade/22.Linear SVM.mp4 14.0 MB
4.3. Algorithms on Parade/23.Neural nets.en.srt 13.0 kB
4.3. Algorithms on Parade/23.Neural nets.mp4 15.6 MB
4.3. Algorithms on Parade/24.Bayesian networks.en.srt 11.7 kB
4.3. Algorithms on Parade/24.Bayesian networks.mp4 18.6 MB
4.3. Algorithms on Parade/25.Ensembles.en.srt 7.2 kB
4.3. Algorithms on Parade/25.Ensembles.mp4 9.9 MB
5.4. Common Modeling Challenges/26.Imbalanced target categories.en.srt 4.5 kB
5.4. Common Modeling Challenges/26.Imbalanced target categories.mp4 6.1 MB
5.4. Common Modeling Challenges/27.Interactions.en.srt 6.6 kB
5.4. Common Modeling Challenges/27.Interactions.mp4 8.6 MB
5.4. Common Modeling Challenges/28.Missing data.en.srt 4.9 kB
5.4. Common Modeling Challenges/28.Missing data.mp4 7.0 MB
5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.en.srt 8.7 kB
5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp4 11.7 MB
5.4. Common Modeling Challenges/30.Data reduction.en.srt 11.3 kB
5.4. Common Modeling Challenges/30.Data reduction.mp4 16.1 MB
6.Conclusion/31.Next steps.en.srt 5.5 kB
6.Conclusion/31.Next steps.mp4 5.9 MB