- 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
- Cocos2d Cross-Platform Game Development Cookbook(Second Edition)
- Learning Real-time Processing with Spark Streaming
- Learning RxJava
- C語言程序設(shè)計(jì)
- Monitoring Elasticsearch
- Kali Linux Wireless Penetration Testing Beginner's Guide(Third Edition)
- Python時(shí)間序列預(yù)測
- Swift語言實(shí)戰(zhàn)精講
- Learning Docker Networking
- Kotlin極簡教程
- Django Design Patterns and Best Practices
- NGUI for Unity
- 高效使用Greenplum:入門、進(jìn)階與數(shù)據(jù)中臺(tái)
- Mastering Bootstrap 4
- 體驗(yàn)之道:從需求到實(shí)踐的用戶體驗(yàn)實(shí)戰(zhàn)