Instructional Video8:59
Catalyst University

Entropy (Part 1/4)

Higher Ed
Entropy (Part 1/4)
Instructional Video14:56
Catalyst University

Thermodynamic Parameters of Mixing | Example Calculations #1

Higher Ed
In this video, I show you example calculations for ΔG, ΔS, ΔH, ΔV, all of mixing.
Instructional Video3:39
A Capella Science

Entropic Time (Billy Joel Parody)

9th - 12th
Time runs backward in this exploration of why time runs forward, to the tune of Billy Joel's "For The Longest Time"
Instructional Video4:45
Professor Dave Explains

Free Energy of Dissolution

12th - Higher Ed
We've learned a lot about solution chemistry, and we've also learned about thermodynamics and spontaneity. So what about the spontaneity associated with dissolution? If an ionic solid dissolves in water, is this an enthalpically or...
Instructional Video3:08
Professor Dave Explains

IIT/JEE Chemistry Practice #28: Gibbs Free Energy

12th - Higher Ed
Practice REAL problems from actual past IIT/JEE exams with Professor Dave!
Instructional Video18:01
Catalyst University

Alkene Addition versus Elimination: A Thermodynamic Approach

Higher Ed
Alkene Addition versus Elimination: A Thermodynamic Approach
Instructional Video3:19
Professor Dave Explains

IIT/JEE Chemistry Practice #30: Spontaneity

12th - Higher Ed
Practice REAL problems from actual past IIT/JEE exams with Professor Dave!
Instructional Video2:18
Curated Video

Probability Statistics - The Foundations of Machine Learning - Introduction

Higher Ed
Welcome to the course. This is a quick introduction video to the course. This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first...
Instructional Video3:08
Curated Video

Implement a decision tree : Working of a Decision Tree

Higher Ed
From the section: Mastering Kaggle Titanic Competition Using Random Forest. The module will cover Random Forest and thus cover decision trees and will encourage the student to make a Kaggle submission and introduce them to the online...
Instructional Video11:44
Curated Video

Probability Statistics - The Foundations of Machine Learning - Foundations of Bayesian Inference

Higher Ed
In this video, we will cover the foundations of Bayesian inference. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Instructional Video5:13
Professor Dave Explains

IIT/JEE Chemistry Practice #29: Thermodynamics

12th - Higher Ed
Practice REAL problems from actual past IIT/JEE exams with Professor Dave!
Instructional Video8:25
Curated Video

Probability Statistics - The Foundations of Machine Learning - Application of Bayes Rule in the Real World - Spam Detection

Higher Ed
In this video, we will cover the application of the Bayes rule in a real-world example for spam detection. This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations...
Instructional Video3:09
Professor Dave Explains

The Third Law of Thermodynamics: Absolute Zero

12th - Higher Ed
Brr, it's so cold today! Could it get any colder? Is there a coldest possible temperature? Yes, there is! That seems strange, but now we know that temperature is just a measure of kinetic energy, so zero kinetic energy must mean zero...
Instructional Video4:50
Curated Video

Probability Statistics - The Foundations of Machine Learning - Practical Note: One-Hot Vector Encoding

Higher Ed
In this video, we will cover one-hot vector encoding. This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first set up our working...
Instructional Video21:32
Curated Video

Probability Statistics - The Foundations of Machine Learning - Foundations, Data Types, and Representing Data

Higher Ed
In this video, we will cover foundations, data types, and representing data. This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Instructional Video6:16
Curated Video

Probability Statistics - The Foundations of Machine Learning - Bayesian Inference Code Through PyMC3

Higher Ed
In this video, we will cover Bayesian inference code through PyMC3. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Instructional Video9:38
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dispersion and Spread in Data, Variance, Standard Deviation

Higher Ed
In this video, we will cover dispersion and spread in data, variance, standard deviation. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...
Instructional Video4:41
Professor Dave Explains

Practice Problem: Calculating Free Energy Change

12th - Higher Ed
We know that the free energy change associated with a process will tell us whether it is spontaneous or not. And we also know that this depends on the change in enthalpy and the change in entropy for that process, as well as the...
Instructional Video26:59
Curated Video

Probability Statistics - The Foundations of Machine Learning - Applying Entropy - Coding Decision Trees for Machine Learning

Higher Ed
In this video, you will learn how to apply Entropy by coding decision trees for machine learning. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine...
Instructional Video5:06
Curated Video

Probability Statistics - The Foundations of Machine Learning - Continuous Distributions Code

Higher Ed
In this video, we will cover continuous distributions code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...
Instructional Video5:07
Curated Video

Probability Statistics - The Foundations of Machine Learning - Discrete Distributions Through Code

Higher Ed
In this video, we will cover discrete distributions through code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Instructional Video6:30
Catalyst University

Thermodynamic Parameters of Solution Mixing

Higher Ed
Thermodynamic Parameters of Solution Mixing
Instructional Video11:06
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dispersion Exploration Through Code

Higher Ed
In this video, we will cover dispersion exploration through code. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will cover measures...
Instructional Video11:17
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dependence and Variance of Two Random Variables

Higher Ed
In this video, we will cover the dependence and variance of two random variables. This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...