[Manning] Machine learning bookcamp (hevc) (2021) [EN] -移花宫-武林禁地，闲人禁止入内

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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：63ab46b6e621e43ea1b690108b1b949229fd4c42
文件大小：296.1M
已经下载：1945次
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收录时间：2023-12-18
最近下载：2025-09-28

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文件列表

Manning.Machine.learning.bookcamp.2021.pdf 10.4 MB
25 - Ch4 ROC curve and AUC score.m4v 7.2 MB
51 - Ch8 Preparing the Docker image.m4v 7.1 MB
10 - Ch2 Validating the model.m4v 7.0 MB
1 - Ch1 Introduction to machine learning.m4v 7.0 MB
50 - Ch8 Serverless deep learning.m4v 6.9 MB
53 - Ch9 Running TensorFlow Serving locally.m4v 6.8 MB
2 - Ch1 When machine learning isn’t helpful.m4v 6.8 MB
20 - Ch3 Model interpretation.m4v 6.8 MB
54 - Ch9 Model deployment with Kubernetes.m4v 6.7 MB
13 - Ch3 Machine learning for classification.m4v 6.6 MB
40 - Ch6 Parameter tuning for XGBoost.m4v 6.5 MB
21 - Ch3 Using the model.m4v 6.5 MB
3 - Ch1 Evaluation.m4v 6.3 MB
26 - Ch4 ROC Curve.m4v 6.2 MB
42 - Ch7 Neural networks and deep learning.m4v 6.1 MB
23 - Ch4 Confusion table.m4v 6.0 MB
49 - Ch7 Using the model.m4v 6.0 MB
28 - Ch4 Next steps.m4v 5.9 MB
22 - Ch4 Evaluation metrics for classification.m4v 5.9 MB
52 - Ch9 Serving models with Kubernetes and Kubeflow.m4v 5.8 MB
55 - Ch9 Deploying to Kubernetes.m4v 5.8 MB
15 - Ch3 Feature importance, Part 1.m4v 5.7 MB
35 - Ch6 Data cleaning.m4v 5.7 MB
30 - Ch5 Model serving.m4v 5.7 MB
47 - Ch7 Saving the model and checkpointing.m4v 5.7 MB
36 - Ch6 Decision trees.m4v 5.6 MB
7 - Ch2 Machine learning for regression - again.m4v 5.6 MB
14 - Ch3 Initial data preparation.m4v 5.6 MB
9 - Ch2 Predicting the price.m4v 5.5 MB
19 - Ch3 Training logistic regression.m4v 5.4 MB
33 - Ch5 Deployment.m4v 5.1 MB
6 - Ch2 Target variable analysis.m4v 5.1 MB
8 - Ch2 Linear regression.m4v 5.0 MB
57 - Ch9 KFServing transformers.m4v 4.9 MB
48 - Ch7 Data augmentation.m4v 4.8 MB
37 - Ch6 Decision tree learning algorithm.m4v 4.8 MB
46 - Ch7 Training the model - again.m4v 4.8 MB
29 - Ch 5 Deploying machine learning models.m4v 4.7 MB
5 - Ch2 Exploratory data analysis.m4v 4.7 MB
38 - Ch6 Random forest.m4v 4.5 MB
17 - Ch3 Feature engineering.m4v 4.5 MB
31 - Ch5 Managing dependencies.m4v 4.4 MB
11 - Ch2 Regularization.m4v 4.2 MB
16 - Ch3 Feature importance, Part 2.m4v 4.1 MB
41 - Ch6 Next steps.m4v 4.1 MB
4 - Ch2 Machine learning for regression.m4v 4.0 MB
56 - Ch9 Model deployment with Kubeflow.m4v 4.0 MB
45 - Ch7 Training the model.m4v 3.9 MB
12 - Ch2 Using the model.m4v 3.9 MB
32 - Ch5 Docker.m4v 3.8 MB
27 - Ch4 Parameter tuning.m4v 3.8 MB
39 - Ch6 Gradient boosting.m4v 3.7 MB
44 - Ch7 Internals of the model.m4v 3.6 MB
18 - Ch3 Machine learning for classification.m4v 3.4 MB
43 - Ch7 Convolutional neural networks.m4v 3.4 MB
24 - Ch4 Precision and recall.m4v 3.3 MB
34 - Ch6 Decision trees and ensemble learning.m4v 3.2 MB