[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：2115次
下载速度：极快
收录时间：2023-12-17
最近下载：2024-12-04

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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

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
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