Statistical ratios | Decision trees | Classification algorithms | Entropy and information
In decision tree learning, Information gain ratio is a ratio of information gain to the intrinsic information. It was proposed by Ross Quinlan, to reduce a bias towards multi-valued attributes by taking the number and size of branches into account when choosingan attribute. Information Gain is also known as Mutual Information. (Wikipedia).
(IC 1.6) A different notion of "information"
An informal discussion of the distinctions between our everyday usage of the word "information" and the information-theoretic notion of "information". A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F Attribution for image of TV static:
From playlist Information theory and Coding
This video introduces the Golden ratio and provides several examples of where the Golden ratio appears. http:mathispower4u.com
From playlist Mathematics General Interest
This video defines a ratio and provides several examples on how to write a ratio and shows how to simplify a ratio. http://mathispower4u.wordpress.com/
From playlist Ratios and Rates
Sound vs. Noise: What’s the Actual Difference? (Part 1 of 3)
Noise and sound are not the same thing… really, they aren’t! What exactly is noise? Part 2 of 3 - https://youtu.be/XhFhK97hrdY Part 3 of 3 - https://youtu.be/yTyYZFcxGGQ Read More: Signal-to-Noise Ratio and Why It Matters https://www.lifewire.com/signal-to-noise-ratio-3134701 “You
From playlist Seeker Plus
Odds Ratios and Log(Odds Ratios), Clearly Explained!!!
Odds Ratios and Log(Odds Ratios) are like R-Squared - they describe a relationship between two things. And just like R-Squared, you need to determine if this relationship is statistically significant. This StatQuest goes over all these details so that you are ready for any odds ratio and l
From playlist StatQuest
Dividends - Payout Ratio vs Retention Ratio
This stocks and bonds video tutorial explains how to calculate the dividend payout ratio and the retention ratio. The payout ratio is equal to the total dividends paid divided by the net income. The retention ratio is equal to the earnings retained divided by the net income. My Website:
From playlist Stocks and Bonds
Decision Tree 4: Information Gain
Full lecture: http://bit.ly/D-Tree After a split, we end up with several subsets, which will have different values of entropy (purity). Information Gain (aka mutual information) is an average of these entropies, weighted by the size of each subset.
From playlist Decision Tree
Lecture 14 | Introduction to Robotics
Lecture by Professor Oussama Khatib for Introduction to Robotics (CS223A) in the Stanford Computer Science Department. Professor Khatib shows a short video on A Finger-Shaped Tactile Sensor Using An Optical Waveguide, then lectures on Robot control and the one degree of freedom. CS223A
From playlist Lecture Collection | Introduction to Robotics
IAML7.9 Information gain ratio
From playlist Decision Tree Learning
1. Introduction and Basic Concepts
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
3. Introduction to Systems with Dynamics
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
Special Topics - The Kalman Filter (18 of 55) What is a Covariance Matrix?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is the state covariance matrix, process noise covariance matrix, and measurement covariance matrix. Next video in this series can be seen at: https://youtu.be/ieL0jxzLhCE
From playlist SPECIAL TOPICS 1 - THE KALMAN FILTER
EEVblog #49 - Decibels (dB's) for Engineers - A Tutorial
Are you a pessimist or an optimist? Dave explains dB's and how they are useful for us engineering types.
From playlist Electronics Tutorials
Multiple Timescales of Neuronal Computation - Adrienne Fairhall
2015 Joshua Lederberg - John von Neumann Symposium "Towards Quantitative Biology" Adrienne Fairhall University of Washington, Seattle December 2, 2015 https://www.sns.ias.edu/scsb/lederberg-vonneumann2015 More videos on http://video.ias.edu
From playlist Joshua Lederberg - John von Neumann Symposium
Ratios Introduction - what are ratios?
Ratios are used to compare different quantities. In this introduction to ratios we will look at what ratios are, how we deal with ratios of different measurement units and that ratios can be simplified. To donate to the tecmath channel:https://paypal.me/tecmath To support tecmath on Pa
From playlist Ratios
Electrical Engineering: Ch 15: Frequency Response (3 of 56) What is a Transfer Function: 3 of 3
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the 4 different types of transfer function: voltage gain, current gain, transfer impedance, and transfer admittance. http://www.ilectureonline.com/donate https://www.patreon.com/user?u=323607
From playlist ELECTRICAL ENGINEERING 15 FREQUENCY RESPONSE