- Python Deep Learning
- Ivan Vasilev Daniel Slater Gianmario Spacagna Peter Roelants Valentino Zocca
- 81字
- 2021-07-02 14:31:00
Different machine learning approaches
As we have seen, the term machine learning is used in a very general way, and refers to the general techniques used to extrapolate patterns from large sets, or it is the ability to make predictions on new data based on what is learned by analyzing available known data. Machine learning techniques can roughly be divided in two large classes, while one more class is often added. Here are the classes:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
推薦閱讀
- C語言程序設計(第2版)
- 少年輕松趣編程:用Scratch創作自己的小游戲
- 基于Java技術的Web應用開發
- Mastering Yii
- 游戲程序設計教程
- FLL+WRO樂高機器人競賽教程:機械、巡線與PID
- Instant Lucene.NET
- Python算法詳解
- RealSenseTM互動開發實戰
- 搞定J2EE:Struts+Spring+Hibernate整合詳解與典型案例
- Statistical Application Development with R and Python(Second Edition)
- Domain-Driven Design in PHP
- Raspberry Pi Robotic Projects(Third Edition)
- Mockito Essentials
- INSTANT JQuery Flot Visual Data Analysis