Available
MACHINE LEARNING WITH PYTHON
350.00
| SKU Code | Book2301746C |
| ISBN | 9789374245682 |
| Pages | 216 |
| Language | English |
| Genre | Essays |
| Book Size | 5*8 |
Synopsis
"This book is written for B.Tech (UG) engineering
students who want a solid foundation in ML concepts as
well as hands-on skills in Python. The focus is on building
intuition first, then connecting intuition to mathematics,
and finally implementing the methods in a reproducible
workflow.
To keep the material practical, every chapter includes
code-oriented discussion, common pitfalls, and
engineering choices (feature engineering, validation,
hyperparameter tuning, and deployment). The book
avoids objective-type questions and MCQs and instead
provides detailed explanations and end-to-end project
case studies.
All algorithms are discussed with their assumptions,
strengths, and limitations so that you learn not only how
to train a model but also how to trust, debug, and monitor
it in real applications.
"
students who want a solid foundation in ML concepts as
well as hands-on skills in Python. The focus is on building
intuition first, then connecting intuition to mathematics,
and finally implementing the methods in a reproducible
workflow.
To keep the material practical, every chapter includes
code-oriented discussion, common pitfalls, and
engineering choices (feature engineering, validation,
hyperparameter tuning, and deployment). The book
avoids objective-type questions and MCQs and instead
provides detailed explanations and end-to-end project
case studies.
All algorithms are discussed with their assumptions,
strengths, and limitations so that you learn not only how
to train a model but also how to trust, debug, and monitor
it in real applications.
"
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