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
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
Problem 1PE
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e96339b-d3d9-4039-844d-3fc091742cc5%2F55b954af-da18-4aaf-b84b-3afdf2f2f106%2Fs0z82de_processed.png&w=3840&q=75)
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.

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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