- Machine Learning for Developers
- Rodolfo Bonnin
- 73字
- 2021-07-02 15:46:49
Preliminary knowledge
Covering the calculus terminology necessary to get to gradient descent theory would take many chapters, so we will assume you have an understanding of the concepts of the properties of the most well-known continuous functions, such as linear, quadratic, logarithmic, and exponential, and the concept of limit.
For the sake of clarity, we will develop the concept of the functions of one variable, and then expand briefly to cover multivariate functions.
推薦閱讀
- 計算思維與算法入門
- Django Design Patterns and Best Practices
- Instant 960 Grid System
- Hands-On C++ Game Animation Programming
- 你必須知道的204個Visual C++開發問題
- Unity Shader入門精要
- Mastering Ext JS
- Yocto for Raspberry Pi
- 常用工具軟件立體化教程(微課版)
- Cybersecurity Attacks:Red Team Strategies
- 深入剖析Java虛擬機:源碼剖析與實例詳解(基礎卷)
- Kubernetes進階實戰
- 軟件工程與UML案例解析(第三版)
- Practical Predictive Analytics
- 超簡單:Photoshop+JavaScript+Python智能修圖與圖像自動化處理