Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow
URI: https://gptkb.org/entity/Hands-On_Machine_Learning_with_Scikit-Learn%2C_Keras%2C_and_Tensor_Flow
GPTKB entity
Statements (41)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:book
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Deep_Learning
|
| gptkbp:author |
gptkb:Aurélien_Géron
|
| gptkbp:contains |
Case studies
Code examples Exercises |
| gptkbp:covered_by |
gptkb:Scikit-Learn
gptkb:Graphics_Processing_Unit gptkb:Keras |
| gptkbp:focus |
Natural language processing
Time series analysis Computer vision Data visualization Neural networks Data preprocessing Feature engineering Hyperparameter tuning Model evaluation Supervised learning Ensemble methods Model interpretability Unsupervised learning Deployment of models Practical applications of machine learning Real-world datasets Deep learning architectures End-to-end machine learning projects |
| https://www.w3.org/2000/01/rdf-schema#label |
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow
|
| gptkbp:isbn |
9781492032649
|
| gptkbp:language |
English
|
| gptkbp:next_edition |
Second Edition
|
| gptkbp:page_count |
800
|
| gptkbp:published_year |
gptkb:2019
|
| gptkbp:publisher |
gptkb:O'_Reilly_Media
|
| gptkbp:subject |
gptkb:Artificial_Intelligence
gptkb:software_framework gptkb:Deep_Learning |
| gptkbp:target_audience |
gptkb:University
Data Scientists Machine Learning Engineers |