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

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 2023-8-25 20:19 2024-12-11 17:17 121 286.19 MB 57
二维码链接
[Manning] Machine learning bookcamp (hevc) (2021) [EN]的二维码
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文件列表
  1. 1 - Ch1 Introduction to machine learning.m4v6.65MB
  2. 2 - Ch1 When machine learning isn’t helpful.m4v6.47MB
  3. 3 - Ch1 Evaluation.m4v6.02MB
  4. 4 - Ch2 Machine learning for regression.m4v3.84MB
  5. 5 - Ch2 Exploratory data analysis.m4v4.52MB
  6. 6 - Ch2 Target variable analysis.m4v4.87MB
  7. 7 - Ch2 Machine learning for regression - again.m4v5.36MB
  8. 8 - Ch2 Linear regression.m4v4.77MB
  9. 9 - Ch2 Predicting the price.m4v5.24MB
  10. 10 - Ch2 Validating the model.m4v6.71MB
  11. 11 - Ch2 Regularization.m4v4.04MB
  12. 12 - Ch2 Using the model.m4v3.69MB
  13. 13 - Ch3 Machine learning for classification.m4v6.26MB
  14. 14 - Ch3 Initial data preparation.m4v5.3MB
  15. 15 - Ch3 Feature importance, Part 1.m4v5.44MB
  16. 16 - Ch3 Feature importance, Part 2.m4v3.95MB
  17. 17 - Ch3 Feature engineering.m4v4.27MB
  18. 18 - Ch3 Machine learning for classification.m4v3.22MB
  19. 19 - Ch3 Training logistic regression.m4v5.17MB
  20. 20 - Ch3 Model interpretation.m4v6.46MB
  21. 21 - Ch3 Using the model.m4v6.21MB
  22. 22 - Ch4 Evaluation metrics for classification.m4v5.6MB
  23. 23 - Ch4 Confusion table.m4v5.76MB
  24. 24 - Ch4 Precision and recall.m4v3.16MB
  25. 25 - Ch4 ROC curve and AUC score.m4v6.83MB
  26. 26 - Ch4 ROC Curve.m4v5.89MB
  27. 27 - Ch4 Parameter tuning.m4v3.61MB
  28. 28 - Ch4 Next steps.m4v5.67MB
  29. 29 - Ch 5 Deploying machine learning models.m4v4.53MB
  30. 30 - Ch5 Model serving.m4v5.4MB
  31. 31 - Ch5 Managing dependencies.m4v4.15MB
  32. 32 - Ch5 Docker.m4v3.63MB
  33. 33 - Ch5 Deployment.m4v4.89MB
  34. 34 - Ch6 Decision trees and ensemble learning.m4v3.07MB
  35. 35 - Ch6 Data cleaning.m4v5.43MB
  36. 36 - Ch6 Decision trees.m4v5.38MB
  37. 37 - Ch6 Decision tree learning algorithm.m4v4.58MB
  38. 38 - Ch6 Random forest.m4v4.29MB
  39. 39 - Ch6 Gradient boosting.m4v3.51MB
  40. 40 - Ch6 Parameter tuning for XGBoost.m4v6.24MB
  41. 41 - Ch6 Next steps.m4v3.92MB
  42. 42 - Ch7 Neural networks and deep learning.m4v5.8MB
  43. 43 - Ch7 Convolutional neural networks.m4v3.21MB
  44. 44 - Ch7 Internals of the model.m4v3.47MB
  45. 45 - Ch7 Training the model.m4v3.71MB
  46. 46 - Ch7 Training the model - again.m4v4.57MB
  47. 47 - Ch7 Saving the model and checkpointing.m4v5.39MB
  48. 48 - Ch7 Data augmentation.m4v4.58MB
  49. 49 - Ch7 Using the model.m4v5.73MB
  50. 50 - Ch8 Serverless deep learning.m4v6.59MB
  51. 51 - Ch8 Preparing the Docker image.m4v6.73MB
  52. 52 - Ch9 Serving models with Kubernetes and Kubeflow.m4v5.53MB
  53. 53 - Ch9 Running TensorFlow Serving locally.m4v6.53MB
  54. 54 - Ch9 Model deployment with Kubernetes.m4v6.35MB
  55. 55 - Ch9 Deploying to Kubernetes.m4v5.51MB
  56. 56 - Ch9 Model deployment with Kubeflow.m4v3.82MB
  57. 57 - Ch9 KFServing transformers.m4v4.66MB
友情提示
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