logarithm with negative base and negative input
What if we have both a negative base and a negative input in a logarithm! People often say we cannot have a negative number inside of a logarithm. Most of the time log(negative) gives us an imaginary number. But since (-2)^3=-8, so what do you think the answer to log base -2 of -8? Check
From playlist math for fun, complex world
Can you evaluate a log for a negative number
👉 Learn all about the properties of logarithms. The logarithm of a number say a to the base of another number say b is a number say n which when raised as a power of b gives a. (i.e. log [base b] (a) = n means that b^n = a). The logarithm of a negative number is not defined. (i.e. it is no
From playlist Rules of Logarithms
#38. Based on the scatterplot, what is the linear correlation coefficient?
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #38. Based on the scatterplot, what is the linear correlation coefficient?
From playlist Statistics Final Exam
Ex 2: Find a Z-score Given the Probabilty of Z Being Greater Than a Given Value
This video explains how to use a TI84 to determine a z-score given the probability of the z-score being greater than unknown z-score. http://mathispower4u.com
From playlist The Normal Distribution
Prob & Stats - Bayes Theorem (15 of 24) What is Negative Predictive Value (NPV)?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is the negative predictive value (NPV). NPV is the probability that a patient with a negative test result is actually free from the disease (or the tested condition). NPV equals the propo
From playlist PROB & STATS 4 BAYES THEOREM
Evaluating logarithms without a calculator
👉 Learn all about the properties of logarithms. The logarithm of a number say a to the base of another number say b is a number say n which when raised as a power of b gives a. (i.e. log [base b] (a) = n means that b^n = a). The logarithm of a negative number is not defined. (i.e. it is no
From playlist Rules of Logarithms
Ex 3: Find the Probability of a Z-score Being Between Two Z-score on a Newer TI84
This video explains how to use a newer TI84 graphing calculator to determine the probability that a z-score is between two given z-scores for a standard normal distribution. http://mathispower4u.com
From playlist The Normal Distribution
Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Eb7mIi Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
From playlist COMP0168 (2020/21)
Normal Distribution: Find Probability Using With Z-scores Using Tables
This lesson explains how to use tables to determine the probability a data value will have a z-score more than or less and a given z-score. It also shows how to determine the probability between two z-scores. Site: http://mathispower4u.com
From playlist The Normal Distribution
Lecture 9.5 — The Bayesian interpretation of weight decay [Neural Networks for Machine Learning]
Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. Link to the course (login required): https://class.coursera.org/neuralnets-2012-001
From playlist [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton
Lecture 9E : The Bayesian interpretation of weight decay
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 9E : The Bayesian interpretation of weight decay
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3potDOW Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
Singular Learning Theory - Seminar 7 - Asymptotics of the free energy
This seminar series is an introduction to Watanabe's Singular Learning Theory, a theory about algebraic geometry and statistical learning theory. In this seminar Edmund Lau starts the presentation of how to prove the asymptotic formula for the free energy in terms of the "loss" and "entrop
From playlist Singular Learning Theory
When you cannot evaluate a log
👉 Learn all about the properties of logarithms. The logarithm of a number say a to the base of another number say b is a number say n which when raised as a power of b gives a. (i.e. log [base b] (a) = n means that b^n = a). The logarithm of a negative number is not defined. (i.e. it is no
From playlist Rules of Logarithms
Jonas Wallin: Scaling of scoring rules
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 02, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZdTL4x Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Overview of log properties - Inverse properties
👉 Learn all about the properties of logarithms. The logarithm of a number say a to the base of another number say b is a number say n which when raised as a power of b gives a. (i.e. log [base b] (a) = n means that b^n = a). The logarithm of a negative number is not defined. (i.e. it is no
From playlist Rules of Logarithms
From playlist Plenary talks One World Symposium 2020