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序列：- 【影视】 Super Hot Desi Indian Wife Swetha Nude show on Webcam =14 Minutes=.mp4
- 收录时间:2022-09-29 文档个数:1 文档大小:148.9 MB 最近下载:2024-07-04 人气:125 磁力链接
Super Hot Desi Indian Wife Swetha Nude show on Webcam =14 Minutes=.mp4 148.9 MB
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- 【影视】 How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)
- 收录时间:2024-07-24 文档个数:78 文档大小:392.5 MB 最近下载:2024-10-03 人气:132 磁力链接
- 4. Solving Classification Problems/5. Implementing Support Vector Machines.mp4 24.9 MB
- 4. Solving Classification Problems/3. Implementing Naive Bayes.mp4 22.1 MB
- 7. Recommending Relevant Products to a User/3. Finding Hidden Factors that Influence Ratings.mp4 15.7 MB
- 3. Classifying Data into Predefined Categories/1. Understanding the Setup of a Classification Problem.mp4 15.5 MB
- 2. Introducing Machine Learning/4. Identifying the Type of a Machine Learning Problem.mp4 15.2 MB
- 2. Introducing Machine Learning/2. Knowing When to Use Machine Learning.mp4 14.3 MB
- 4. Solving Classification Problems/1. Using the Naive Bayes Algorithm for Sentiment Analysis.mp4 14.2 MB
- 8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.mp4 14.1 MB
- 6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.mp4 13.6 MB
- 7. Recommending Relevant Products to a User/2. Predicting Ratings Using Collaborative Filtering.mp4 13.4 MB
- 2. Introducing Machine Learning/1. Recognizing Machine Learning Applications.mp4 12.1 MB
- 8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.mp4 11.8 MB
- 8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.mp4 11.7 MB
- 9. Wrapping up and Next Steps/2. Looking Ahead.mp4 11.5 MB
- 9. Wrapping up and Next Steps/1. Surveying Machine Learning Techniques.mp4 11.4 MB
- 3. Classifying Data into Predefined Categories/3. Classifying Text on the Basis of Sentiment.mp4 11.0 MB
- 8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.mp4 10.3 MB
exercise.7z 9.9 MB- 5. Predicting Relationships between Variables with Regression/5. Contrasting Classification and Regression.mp4 9.8 MB
- 7. Recommending Relevant Products to a User/1. Appreciating the Role of Recommendations.mp4 9.6 MB
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