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Fundamentals of Machine Learning

Fundamentals of Machine Learning (ML1)

In this course, we will explore the fundamentals of machine learning in the context of actuarial work, including exploring considerations when applying ML, actuarial use cases of various software packages, and actuarial case studies utilising ML.

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£250 once-off (3-months access)

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Introduction

Learn the fundamentals of machine learning by way of a practical example and see examples of machine learning algorithms applied to an insurance use case utilising the data science pipeline. £250 once-off for 3 months' access.

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Learn in your own time

Pick from any of our introductory or advanced courses with bespoke insurance and actuarial specific case studies.

Practice

Our platform is easy to use and embeds the coding environment and learning material in one place to enable you to apply data science hands-on.

Apply

We provide case studies and projects relevant to actuarial work, and based on relevant datasets provided. You have the option to interact and network with your peers.

Overview

In this course, we will explore the fundamentals of machine learning in the context of actuarial work.
We’ll cover, at a high level, how and why machine learning could be applied in different steps of the data science pipeline, such as data collection & management, and model building & validation. We will introduce the audience to interpretability and explainability measures and explore tradeoffs between example algorithms.

The fundamentals course 1 is suitable for anyone who would like to :

  • Understand how and why certain machine learning techniques are used
  • Explore an insurance analysis example using machine learning in the context of the data science pipeline
  • Explore which algorithms may be suitable for which types of business problems
  • Get a glimpse into how machine learning tasks can be performed using Python (noting that it is not essential to have Python experience)
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Fundamentals of Machine Learning

Sign up for a free preview of this fundamentals course in Machine Learning

Free Preview

Preview

Enroll Today

£250 once-off (3-months access)

Enroll Today

Course Structure

  • Getting Started
  • Overview
  • Chapter 0: Introduction
  • Chapter 1: Foundations in Machine Learning
  • Chapter 2: Machine Learning Reference Matrix
  • Chapter 3: Case Studies
  • Appendix and Further Resources

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Who's this course suitable for?

Why is this topic important?

  • Exposure to example machine learning algorithms used in practice
  • Explore ways to select appropriate algorithms for particular actuarial problems
  • Techniques to validate and interpret various machine learning algorithms

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

I just wanted to say what an interesting presentation that was. Thank you so much for taking the time to put this on for us, it is very much appreciated by all – especially the flexibility around hosting as a webinar instead of the original [in-person] format. It worked very well indeed!

Webinars

I think I’m [one of the first actuaries in my area] who are pointing towards Data Science, creating the new [role] of Actuarial data Scientist. For this reason i [sic] decided to follow a post graduate master in Business Intelligence and Big data analytics. I'm actively following your company and i [sic] think it is one of the best Actuarial consulting company [sic] who [sic] is pointing towards data Science!

Webinars

I love your videos - being free and accessible really helped me. The Q&A session was fantastic! It always comes down to execution and I feel this should always accompany your presentations - answering the question of how will your participants use what you give them. Keep up the great work!

Round Table

Thank you for having me along. I really found it the most motivating conversation I’ve had in a while, and made me think about what I’m trying to achieve within this area. We all need evenings like that to get some perspective on what we *think* is going on and what actually is. It was a very good evening.

Round Table

It was a really good introduction to Data Science and afterwards I felt that I now have a platform that I could use to further my understanding in this area.

Webinars

I am really happy to have been part of the talk. It was very insightful and please keep doing more of this. I am a data science student currently but I have an actuarial background. I worked in life insurance for about 5 months before resigning to do my masters in Data science so that I blend the actuarial world and Data science together. The talk gave me perspective. Even suggested some potential topics for my Thesis.

Webinars

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

I just wanted to say what an interesting presentation that was. Thank you so much for taking the time to put this on for us, it is very much appreciated by all – especially the flexibility around hosting as a webinar instead of the original [in-person] format. It worked very well indeed!

Webinars

I think I’m [one of the first actuaries in my area] who are pointing towards Data Science, creating the new [role] of Actuarial data Scientist. For this reason i [sic] decided to follow a post graduate master in Business Intelligence and Big data analytics. I'm actively following your company and i [sic] think it is one of the best Actuarial consulting company [sic] who [sic] is pointing towards data Science!

Webinars

I love your videos - being free and accessible really helped me. The Q&A session was fantastic! It always comes down to execution and I feel this should always accompany your presentations - answering the question of how will your participants use what you give them. Keep up the great work!

Round Table

Thank you for having me along. I really found it the most motivating conversation I’ve had in a while, and made me think about what I’m trying to achieve within this area. We all need evenings like that to get some perspective on what we *think* is going on and what actually is. It was a very good evening.

Round Table

It was a really good introduction to Data Science and afterwards I felt that I now have a platform that I could use to further my understanding in this area.

Webinars

I am really happy to have been part of the talk. It was very insightful and please keep doing more of this. I am a data science student currently but I have an actuarial background. I worked in life insurance for about 5 months before resigning to do my masters in Data science so that I blend the actuarial world and Data science together. The talk gave me perspective. Even suggested some potential topics for my Thesis.

Webinars
Get started

Fundamentals of Machine Learning

Sign up for a free preview of this fundamentals course in Machine Learning

Free Preview

Preview

Enroll Today

£250 once-off (3-months access)

Enroll Today

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