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种子名称： [Manning] Machine learning bookcamp (hevc) (2021) [EN]
文件类型： 视频
文件数目： 57个文件
文件大小： 286.19 MB
收录时间： 2023-8-25 20:19
已经下载： 3次
资源热度： 71
最近下载： 2024-6-3 19:34

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[Manning] Machine learning bookcamp (hevc) (2021) [EN].torrent

1 - Ch1 Introduction to machine learning.m4v6.65MB

2 - Ch1 When machine learning isn’t helpful.m4v6.47MB

3 - Ch1 Evaluation.m4v6.02MB

4 - Ch2 Machine learning for regression.m4v3.84MB

5 - Ch2 Exploratory data analysis.m4v4.52MB

6 - Ch2 Target variable analysis.m4v4.87MB

7 - Ch2 Machine learning for regression - again.m4v5.36MB

8 - Ch2 Linear regression.m4v4.77MB

9 - Ch2 Predicting the price.m4v5.24MB

10 - Ch2 Validating the model.m4v6.71MB

11 - Ch2 Regularization.m4v4.04MB

12 - Ch2 Using the model.m4v3.69MB

13 - Ch3 Machine learning for classification.m4v6.26MB

14 - Ch3 Initial data preparation.m4v5.3MB

15 - Ch3 Feature importance, Part 1.m4v5.44MB

16 - Ch3 Feature importance, Part 2.m4v3.95MB

17 - Ch3 Feature engineering.m4v4.27MB

18 - Ch3 Machine learning for classification.m4v3.22MB

19 - Ch3 Training logistic regression.m4v5.17MB

20 - Ch3 Model interpretation.m4v6.46MB

21 - Ch3 Using the model.m4v6.21MB

22 - Ch4 Evaluation metrics for classification.m4v5.6MB

23 - Ch4 Confusion table.m4v5.76MB

24 - Ch4 Precision and recall.m4v3.16MB

25 - Ch4 ROC curve and AUC score.m4v6.83MB

26 - Ch4 ROC Curve.m4v5.89MB

27 - Ch4 Parameter tuning.m4v3.61MB

28 - Ch4 Next steps.m4v5.67MB

29 - Ch 5 Deploying machine learning models.m4v4.53MB

30 - Ch5 Model serving.m4v5.4MB

31 - Ch5 Managing dependencies.m4v4.15MB

32 - Ch5 Docker.m4v3.63MB

33 - Ch5 Deployment.m4v4.89MB

34 - Ch6 Decision trees and ensemble learning.m4v3.07MB

35 - Ch6 Data cleaning.m4v5.43MB

36 - Ch6 Decision trees.m4v5.38MB

37 - Ch6 Decision tree learning algorithm.m4v4.58MB

38 - Ch6 Random forest.m4v4.29MB

39 - Ch6 Gradient boosting.m4v3.51MB

40 - Ch6 Parameter tuning for XGBoost.m4v6.24MB

41 - Ch6 Next steps.m4v3.92MB

42 - Ch7 Neural networks and deep learning.m4v5.8MB

43 - Ch7 Convolutional neural networks.m4v3.21MB

44 - Ch7 Internals of the model.m4v3.47MB

45 - Ch7 Training the model.m4v3.71MB

46 - Ch7 Training the model - again.m4v4.57MB

47 - Ch7 Saving the model and checkpointing.m4v5.39MB

48 - Ch7 Data augmentation.m4v4.58MB

49 - Ch7 Using the model.m4v5.73MB

50 - Ch8 Serverless deep learning.m4v6.59MB

51 - Ch8 Preparing the Docker image.m4v6.73MB

52 - Ch9 Serving models with Kubernetes and Kubeflow.m4v5.53MB

53 - Ch9 Running TensorFlow Serving locally.m4v6.53MB

54 - Ch9 Model deployment with Kubernetes.m4v6.35MB

55 - Ch9 Deploying to Kubernetes.m4v5.51MB

56 - Ch9 Model deployment with Kubeflow.m4v3.82MB

57 - Ch9 KFServing transformers.m4v4.66MB