- Advanced Machine Learning with Python
- John Hearty
- 108字
- 2021-07-14 10:53:16
What you need for this book
The entirety of this book's content leverages openly available data and code, including open source Python libraries and frameworks. While each chapter's example code is accompanied by a README file documenting all the libraries required to run the code provided in that chapter's accompanying scripts, the content of these files is collated here for your convenience.
It is recommended that some libraries required for earlier chapters be available when working with code from any later chapter. These requirements are identified using bold text. Particularly, it is important to set up the first chapter's required libraries for any content later in the book.
推薦閱讀
- 微信公眾平臺與小程序開發(fā):從零搭建整套系統(tǒng)
- Drupal 8 Blueprints
- Java EE框架整合開發(fā)入門到實戰(zhàn):Spring+Spring MVC+MyBatis(微課版)
- INSTANT Weka How-to
- Julia機器學習核心編程:人人可用的高性能科學計算
- The Data Visualization Workshop
- 人人都懂設(shè)計模式:從生活中領(lǐng)悟設(shè)計模式(Python實現(xiàn))
- Web程序設(shè)計(第二版)
- C語言程序設(shè)計
- Learning YARN
- Internet of Things with ESP8266
- Scratch3.0趣味編程動手玩:比賽訓練營
- 細說Python編程:從入門到科學計算
- R語言數(shù)據(jù)可視化:科技圖表繪制
- UML2面向?qū)ο蠓治雠c設(shè)計(第2版)