When you are managing a project, risk is always with you. So, Project Risk Management is a fundamental discipline.



Project Risk Management one of the 10 Knowledge Areas in the PMBOK Guide 6th Edition and one of the 7 themes...

After learning to identify risks from the previous video, we will now look at the various possibilities for assessing risk.

The Black Swan is a book about risk, by polymath, Nassim Nicolas Taleb.



Black Swans risks that meet
3 criteria
1. Outlier - not expected from prev
ious experiencer/>2. Extreme impact
3. E

xplainable...

Risk Management is one of the core skillsets within the wider profession of Project Management. Whether your project is purely predictive, or absolutely agile, you need to manage risk. We have plenty of videos on the...

What is Project Risk Management?<b<br/>r/>

Project Managers know that projects are risky. Risk management is therefore a vital discipline. Indeed, a focus on project risk is a sign of real project management maturity.

No one would tolerate a project that is too risky! So, what is risk tolerance?

Shift Happens! Things go wrong. So, as a project manager, you need to be able to manage risks.

This case study likewise involves the contrast between well-presented and poorly presented evidence. In this scenario, the expert is being asked to explain the likelihood of DNA being accidentally transferred onto a train platform. The...

Why scientists dispelled rumours of extreme waves at sea, based on flawed mathematics. Maths - Statistics And Probability A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show abstract...

The Infinite Monkey Theorem states that a monkey hitting a keyboard an infinite number of times will, at some point, end up typing the works of Shakespeare. Find out how to calculate the probability of independent events, and how many...

Huntington's is a genetic disease, which usually occurs in middle age. There is a genetic test for Huntington's but, with no cure available, would you choose to be tested if you were at risk? Biology - Cells And DNA - Learning Points. A...

Why do people fear flying but not coconuts? Or rollercoasters but not ladders? Find out how to calculate the theoretical or experimental probability of events, and why this shows that often the things we fear the most are the least...

This video helps in performing a risk rating.

This video provides an introduction to risk rating and what it is used for.

This video provides an introduction to the SANS Top 25.

In this video, you will learn about the inference mechanisms for generic recommender systems, including individual interests, candidate generation, ranking and filtering, and item similarities.

In this video, you will learn about the inference mechanisms for generic recommender systems, including training the system to capture information to make recommendations.

In this video, you will learn about categorical cross entropy, which is used in multiclass classification.
<
br/>
This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks...

In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification.
<
br/>
This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial...

In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective.
<
br/>
This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...

In this lecture, you will learn how to deploy the model as a service to infer the likelihood of new interactions.
<
br/>
This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender...

In this lesson, we will understand the generic recommendation systems interference mechanism.
<
br/>
This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender Systems: An Applied...

Mr. Addit reviews the terms likely, unlikely, certain, and impossible. He then works through some probability problems.

Mr. Addit reviews experiments, probability, and fairness.