[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 | 2024-5-7 19:03 | 68 | 286.19 MB | 57 |
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文件列表
- 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
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