It describe the Energy Transformation in Living Beings.

It explains the transfer of heat from colder to warmer bodies, relation between entropy and spontaneity,Gibbs energy and spontaneity.

This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python

Here I explain the basics thermodynamic parameters for mixing two liquids into a mixture.

Using regioselective enolization to introduce the concept of thermodynamic vs. kinetic control.

Entropy (Part 3/4)

Entropy (Part 2/4)

The listener is new to algorithms and does not know about the shuffling algorithms.

• Introduce the listener to the std::shuffle algo
rithm
• Show how it works and explain the different versions
available
•...

Heat death of the universe, also called The Big Chill or Big Freeze, will happen when the entropy of the universe will be so high that everything and everyone that lives in it will perish. This will happen because an organism living in...

Entropy (Part 1/4)

In this video, I show you example calculations for ΔG, ΔS, ΔH, ΔV, all of mixing.<br/>

Time runs backward in this exploration of why time runs forward, to the tune of Billy Joel's "For The Longest Time"

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...

Practice REAL problems from actual past IIT/JEE exams with Professor Dave!

Alkene Addition versus Elimination: A Thermodynamic Approach

Welcome to the course. This is a quick introduction video to the course.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...

Practice REAL problems from actual past IIT/JEE exams with Professor Dave!

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...

In this video, we will cover the foundations of Bayesian inference.
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br/>
This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

Practice REAL problems from actual past IIT/JEE exams with Professor Dave!

In this video, we will cover the application of the Bayes rule in a real-world example for spam detection.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The...

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...

In this video, we will cover Bayesian inference code through PyMC3.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover dispersion and spread in data, variance, standard deviation.
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This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In...