Feature Engineering for Machine Learning Models (Paperback)
 
作者: Alice Zheng 
分類: Databases  
書城編號: 1358971

原價: HK$742.00
現售: HK$704.9 節省: HK$37.1

購買此書 10本或以上 9折, 60本或以上 8折

購買後立即進貨, 約需 18-25 天

 
 
出版社: O'Reilly Media
出版日期: 2018/04/20
尺寸: 233x178x15mm
重量: 0.32 kg
ISBN: 9781491953242
 
>> 相關電子書

商品簡介


Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features--the numeric representations of raw data--into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.

Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.

You'll examine:

  • Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms
  • Natural text techniques: bag-of-words, n-grams, and phrase detection
  • Frequency-based filtering and feature scaling for eliminating uninformative features
  • Encoding techniques of categorical variables, including feature hashing and bin-counting
  • Model-based feature engineering with principal component analysis
  • The concept of model stacking, using k-means as a featurization technique
  • Image feature extraction with manual and deep-learning techniques
* 以上資料僅供參考之用, 香港書城並不保證以上資料的準確性及完整性。
* 如送貨地址在香港以外, 當書籍/產品入口時, 顧客須自行繳付入口關稅和其他入口銷售稅項。

 

 

 

  我的賬戶 |  購物車 |  出版社 |  團購優惠
加入供應商 |  廣告刊登 |  公司簡介 |  條款及細則

香港書城 版權所有 私隱政策聲明

顯示模式: 電腦版 (改為: 手機版)