Approaching (Almost) Any Machine Learning Problem
GPTKB entity
Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:book
|
| gptkbp:author |
gptkb:Abhishek_Thakur
|
| gptkbp:focusesOn |
cross-validation
feature engineering hyperparameter tuning model selection model ensembling practical machine learning end-to-end ML pipelines |
| gptkbp:format |
ebook
paperback |
| gptkbp:genre |
non-fiction
|
| https://www.w3.org/2000/01/rdf-schema#label |
Approaching (Almost) Any Machine Learning Problem
|
| gptkbp:ISBN |
978-8269211505
|
| gptkbp:language |
English
|
| gptkbp:notableFor |
hands-on approach
practical code examples |
| gptkbp:pages |
398
|
| gptkbp:publicationYear |
2020
|
| gptkbp:publisher |
Independently published
|
| gptkbp:subject |
gptkb:machine_learning
data science |
| gptkbp:targetAudience |
students
data scientists machine learning practitioners |
| gptkbp:bfsParent |
gptkb:Abhishek_Thakur
|
| gptkbp:bfsLayer |
7
|