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[Manning] Machine learning bookcamp (hevc) (2021) [EN]
magnet:?xt=urn:btih:63ab46b6e621e43ea1b690108b1b949229fd4c42&dn=[Manning] Machine learning bookcamp (hevc) (2021) [EN]
磁力链接详情
Hash值:
63ab46b6e621e43ea1b690108b1b949229fd4c42
点击数:
70
文件大小:
286.19 MB
文件数量:
57
创建日期:
2023-8-25 20:19
最后访问:
2024-5-26 11:23
访问标签:
Manning
Machine
learning
bookcamp
hevc
2021
EN
文件列表详情
1 - Ch1 Introduction to machine learning.m4v 6.65 MB
2 - Ch1 When machine learning isn’t helpful.m4v 6.47 MB
3 - Ch1 Evaluation.m4v 6.02 MB
4 - Ch2 Machine learning for regression.m4v 3.84 MB
5 - Ch2 Exploratory data analysis.m4v 4.52 MB
6 - Ch2 Target variable analysis.m4v 4.87 MB
7 - Ch2 Machine learning for regression - again.m4v 5.36 MB
8 - Ch2 Linear regression.m4v 4.77 MB
9 - Ch2 Predicting the price.m4v 5.24 MB
10 - Ch2 Validating the model.m4v 6.71 MB
11 - Ch2 Regularization.m4v 4.04 MB
12 - Ch2 Using the model.m4v 3.69 MB
13 - Ch3 Machine learning for classification.m4v 6.26 MB
14 - Ch3 Initial data preparation.m4v 5.3 MB
15 - Ch3 Feature importance, Part 1.m4v 5.44 MB
16 - Ch3 Feature importance, Part 2.m4v 3.95 MB
17 - Ch3 Feature engineering.m4v 4.27 MB
18 - Ch3 Machine learning for classification.m4v 3.22 MB
19 - Ch3 Training logistic regression.m4v 5.17 MB
20 - Ch3 Model interpretation.m4v 6.46 MB
21 - Ch3 Using the model.m4v 6.21 MB
22 - Ch4 Evaluation metrics for classification.m4v 5.6 MB
23 - Ch4 Confusion table.m4v 5.76 MB
24 - Ch4 Precision and recall.m4v 3.16 MB
25 - Ch4 ROC curve and AUC score.m4v 6.83 MB
26 - Ch4 ROC Curve.m4v 5.89 MB
27 - Ch4 Parameter tuning.m4v 3.61 MB
28 - Ch4 Next steps.m4v 5.67 MB
29 - Ch 5 Deploying machine learning models.m4v 4.53 MB
30 - Ch5 Model serving.m4v 5.4 MB
31 - Ch5 Managing dependencies.m4v 4.15 MB
32 - Ch5 Docker.m4v 3.63 MB
33 - Ch5 Deployment.m4v 4.89 MB
34 - Ch6 Decision trees and ensemble learning.m4v 3.07 MB
35 - Ch6 Data cleaning.m4v 5.43 MB
36 - Ch6 Decision trees.m4v 5.38 MB
37 - Ch6 Decision tree learning algorithm.m4v 4.58 MB
38 - Ch6 Random forest.m4v 4.29 MB
39 - Ch6 Gradient boosting.m4v 3.51 MB
40 - Ch6 Parameter tuning for XGBoost.m4v 6.24 MB
41 - Ch6 Next steps.m4v 3.92 MB
42 - Ch7 Neural networks and deep learning.m4v 5.8 MB
43 - Ch7 Convolutional neural networks.m4v 3.21 MB
44 - Ch7 Internals of the model.m4v 3.47 MB
45 - Ch7 Training the model.m4v 3.71 MB
46 - Ch7 Training the model - again.m4v 4.57 MB
47 - Ch7 Saving the model and checkpointing.m4v 5.39 MB
48 - Ch7 Data augmentation.m4v 4.58 MB
49 - Ch7 Using the model.m4v 5.73 MB
50 - Ch8 Serverless deep learning.m4v 6.59 MB
51 - Ch8 Preparing the Docker image.m4v 6.73 MB
52 - Ch9 Serving models with Kubernetes and Kubeflow.m4v 5.53 MB
53 - Ch9 Running TensorFlow Serving locally.m4v 6.53 MB
54 - Ch9 Model deployment with Kubernetes.m4v 6.35 MB
55 - Ch9 Deploying to Kubernetes.m4v 5.51 MB
56 - Ch9 Model deployment with Kubeflow.m4v 3.82 MB
57 - Ch9 KFServing transformers.m4v 4.66 MB
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