The idea of a derivative is most closely related to which of the following concepts? Notes: The idea of a derivative is crucial to understanding what a gradient is doing! As well see, gradients and gradient decent will be the key to machine learning. Slope The minium of a function The maximum of a function Rate of change

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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**Question:**

The idea of a derivative is most closely related to which of the following concepts?

**Notes:** The idea of a derivative is crucial to understanding what a gradient is doing! As we'll see, gradients and gradient descent will be the key to machine learning.

- [ ] Slope
- [x] The minimum of a function
- [ ] The maximum of a function
- [ ] Rate of change

**Explanation:** 

The question explores the concept of derivatives in the context of understanding gradients and their applications in machine learning. Although the correct answer selected here is "The minimum of a function," it's important to note that derivatives are generally associated with the slope and rate of change.
Transcribed Image Text:**Question:** The idea of a derivative is most closely related to which of the following concepts? **Notes:** The idea of a derivative is crucial to understanding what a gradient is doing! As we'll see, gradients and gradient descent will be the key to machine learning. - [ ] Slope - [x] The minimum of a function - [ ] The maximum of a function - [ ] Rate of change **Explanation:** The question explores the concept of derivatives in the context of understanding gradients and their applications in machine learning. Although the correct answer selected here is "The minimum of a function," it's important to note that derivatives are generally associated with the slope and rate of change.
Entropy aims to measure the amount of ____ in a system where, in the context of classical information theory, the higher the entropy, the more bits/information will be required to encode a message.

Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions.

- ○ structure
- ○ uncertainty/surprise
- ○ randomness
- ○ certainty
Transcribed Image Text:Entropy aims to measure the amount of ____ in a system where, in the context of classical information theory, the higher the entropy, the more bits/information will be required to encode a message. Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions. - ○ structure - ○ uncertainty/surprise - ○ randomness - ○ certainty
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