- Scala for Data Science
- Pascal Bugnion
- 188字
- 2021-07-23 14:33:01
Who this book is for
This book introduces the data science ecosystem for people who already know some Scala. If you are a data scientist, or data engineer, or if you want to enter data science, this book will give you all the tools you need to implement data science solutions in Scala.
For the avoidance of doubt, let me also clarify what this book is not:
- This is not an introduction to Scala. We assume that you already have a working knowledge of the language. If you do not, we recommend Programming in Scala by Martin Odersky, Lex Spoon, and Bill Venners.
- This is not a book about machine learning in Scala. We will use machine learning to illustrate the examples, but the aim is not to teach you how to write your own gradient-boosted tree class. Machine learning is just one (important) part of data science, and this book aims to cover the full pipeline, from data acquisition to data visualization. If you are interested more specifically in how to implement machine learning solutions in Scala, I recommend Scala for machine learning, by Patrick R. Nicolas.
推薦閱讀
- UNIX編程藝術
- Machine Learning with R Cookbook(Second Edition)
- Visual FoxPro 程序設計
- Java FX應用開發教程
- Python Deep Learning
- Java從入門到精通(第5版)
- Android開發案例教程與項目實戰(在線實驗+在線自測)
- Jenkins Continuous Integration Cookbook(Second Edition)
- Microsoft Azure Storage Essentials
- Programming with CodeIgniterMVC
- Python Projects for Kids
- Java 9 with JShell
- Keil Cx51 V7.0單片機高級語言編程與μVision2應用實踐
- Google Maps JavaScript API Cookbook
- TypeScript High Performance