Course curriculum

    1. How to use the Actuartech platform

    2. Software and Package Requirements

      FREE PREVIEW
    3. How to Get Set Up

    4. A User Guide for Jupyter Notebooks

    5. Other ways to code in Python

    1. Overview and Objectives

      FREE PREVIEW
    2. Component Structure and How to Navigate

    1. 0.1 Defining Machine Learning

    1. 1.0 Background and Resources

    2. 1.1 Problem Statement

    3. 1.2 Data Collection

    4. 1.3 Data Cleaning

    5. 1.4 Data Management

    6. 1.5 Model Building

    7. 1.6 Model Validation

    8. 1.7 Reporting

    9. 1.8 Monitoring and Version Control

    10. 1.9 Overarching Components of the Pipeline

    1. Machine Learning Reference Matrix

    1. 3.1 End-to-End Lapse Analysis Case Study

    2. 3.2.1 Introduction to Mortality Forecasting using Deep Learning Case Study

    3. 3.2.2 Data Preparation

    4. 3.2.3 Theoretical Background

    5. 3.2.4 Fitting an LSTM using keras and tensorflow

    6. 3.2.5 Further Advances when Fitting an LSTM using keras and tensorflow

    7. 3.2.6 LSTM Notebooks, Lee-Carter & Cairns-Blake-Dowd Packages, and Dataset

About this course

  • £325.00
  • 30 lessons
  • 0 hours of video content