Duyệt theo:
CSDL SÁCH mới Thư viện
.jpg

Handbook of Big Data Analytics : 1st ed.

Tác giả: Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation...

  • Vị trí lưu trữ: 7/25 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
.jpg

Microbiology : Laboratory theory & application

Tác giả: Michael J Leboffe, Burton E Pierce

Features include the following: Theory and Application provide students with the general principles and everyday purpose of the labs; "In This Exercise" clearly explains what students can expect as they work through the Lab Procedures; Biochemical Reactions for the Organism and Indicator Reactions...

  • Vị trí lưu trữ: 7/25 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
.jpg

Mastering machine learning with python in six steps : A practical implementation guide to predictive data analytics using python : 2nd ed.

Tác giả: Manohar Swamynathan

You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient...

  • Vị trí lưu trữ: 7/25 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
.jpg

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: 7/25 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
.jpg

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: 7/25 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1