TorBT - Torrents and Magnet Links Search Engine
[Manning] Machine learning bookcamp (hevc) (2021) [EN]
- Date: 2023-09-24
- Size: 296 MB
- Files: 58
File Name
Size
1 - Ch1 Introduction to machine learning.m4v
6.6 MB
2 - Ch1 When machine learning isn’t helpful.m4v
6.5 MB
3 - Ch1 Evaluation.m4v
6.0 MB
4 - Ch2 Machine learning for regression.m4v
3.8 MB
5 - Ch2 Exploratory data analysis.m4v
4.5 MB
6 - Ch2 Target variable analysis.m4v
4.9 MB
7 - Ch2 Machine learning for regression - again.m4v
5.4 MB
8 - Ch2 Linear regression.m4v
4.8 MB
9 - Ch2 Predicting the price.m4v
5.2 MB
10 - Ch2 Validating the model.m4v
6.7 MB
11 - Ch2 Regularization.m4v
4.0 MB
12 - Ch2 Using the model.m4v
3.7 MB
13 - Ch3 Machine learning for classification.m4v
6.3 MB
14 - Ch3 Initial data preparation.m4v
5.3 MB
15 - Ch3 Feature importance, Part 1.m4v
5.4 MB
16 - Ch3 Feature importance, Part 2.m4v
3.9 MB
17 - Ch3 Feature engineering.m4v
4.3 MB
18 - Ch3 Machine learning for classification.m4v
3.2 MB
19 - Ch3 Training logistic regression.m4v
5.2 MB
20 - Ch3 Model interpretation.m4v
6.5 MB
21 - Ch3 Using the model.m4v
6.2 MB
22 - Ch4 Evaluation metrics for classification.m4v
5.6 MB
23 - Ch4 Confusion table.m4v
5.8 MB
24 - Ch4 Precision and recall.m4v
3.2 MB
25 - Ch4 ROC curve and AUC score.m4v
6.8 MB
26 - Ch4 ROC Curve.m4v
5.9 MB
27 - Ch4 Parameter tuning.m4v
3.6 MB
28 - Ch4 Next steps.m4v
5.7 MB
29 - Ch 5 Deploying machine learning models.m4v
4.5 MB
30 - Ch5 Model serving.m4v
5.4 MB
31 - Ch5 Managing dependencies.m4v
4.2 MB
32 - Ch5 Docker.m4v
3.6 MB
33 - Ch5 Deployment.m4v
4.9 MB
34 - Ch6 Decision trees and ensemble learning.m4v
3.1 MB
35 - Ch6 Data cleaning.m4v
5.4 MB
36 - Ch6 Decision trees.m4v
5.4 MB
37 - Ch6 Decision tree learning algorithm.m4v
4.6 MB
38 - Ch6 Random forest.m4v
4.3 MB
39 - Ch6 Gradient boosting.m4v
3.5 MB
40 - Ch6 Parameter tuning for XGBoost.m4v
6.2 MB
41 - Ch6 Next steps.m4v
3.9 MB
42 - Ch7 Neural networks and deep learning.m4v
5.8 MB
43 - Ch7 Convolutional neural networks.m4v
3.2 MB
44 - Ch7 Internals of the model.m4v
3.5 MB
45 - Ch7 Training the model.m4v
3.7 MB
46 - Ch7 Training the model - again.m4v
4.6 MB
47 - Ch7 Saving the model and checkpointing.m4v
5.4 MB
48 - Ch7 Data augmentation.m4v
4.6 MB
49 - Ch7 Using the model.m4v
5.7 MB
50 - Ch8 Serverless deep learning.m4v
6.6 MB
51 - Ch8 Preparing the Docker image.m4v
6.7 MB
52 - Ch9 Serving models with Kubernetes and Kubeflow.m4v
5.5 MB
53 - Ch9 Running TensorFlow Serving locally.m4v
6.5 MB
54 - Ch9 Model deployment with Kubernetes.m4v
6.4 MB
55 - Ch9 Deploying to Kubernetes.m4v
5.5 MB
56 - Ch9 Model deployment with Kubeflow.m4v
3.8 MB
57 - Ch9 KFServing transformers.m4v
4.7 MB
Manning.Machine.learning.bookcamp.2021.pdf
9.9 MB