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Hands-on gradient boosting with XGBoost and scikit-learn : perform accessible machine learning and extreme gradient boosting with python

Tác giả: Corey Wade

The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
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Complete guide to open source big data stack : 1st ed.

Tác giả: Michael Frampton

This book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
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Big data : a primer

Tác giả: Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
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Adobe Photoshop 2020 release : classroom in a book : the official training workbook from Adobe

Tác giả: Andrew Faulkner, Conrad Chavez

Creative professionals seeking the fastest, easiest, most comprehensive way to learn Adobe Photoshop choose Adobe Photoshop Classroom in a Book (2020 release) from Adobe Press. The 15 project-based lessons show key step-by-step techniques for working in Photoshop, including how to correct, enhance, ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
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Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems : 2nd ed

Tác giả: Aurélien Géron

By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1