The BCS Foundation Award - Machine Learning is designed for individuals wishing to gain an understanding of the principles of Machine Learning and the process through which it can be developed.
The term “Machine Learning” has increased in popularity in the last decade and is a technology which is becoming more commonly used within many organisations. With its ability to help solve business problems and develop new customer experiences, there is now a greater demand for individuals with the knowledge and skills to support organisations to successfully implement the technology to deliver improvements.
This award explores what Machine Learning is and how it is used in practice. It provides an introduction into the different types of Machine Leaning and the tools and techniques required to develop it, including a basic introduction to algorithms.
The BCS Foundation Award - Machine Learning will enable you to understand these concepts at a foundation level, enabling them to be better informed and equipping them with knowledge which they build upon through further study and application.
1. What Is Machine Learning?
You will be able to:
1.1 Define Machine Learning.
1.2 Explain different applications of Machine Learning.
1.3 Describe the role of a Learning Agent.
1.4 Explain the concept of Deep Learning
1.5 Describe the purpose of a Neural Network.
1.6 Illustrate how Machine Learning compliments Knowledge-Based Systems
1.7 Explain the process through which Machine Learning works with Data.
2. Coding For Machine Learning
You will be able to:
2.1 Explain the use of at least one coding language used in machine learning.
2.2 Identify common open source and proprietary software used in coding for Machine Learning.
3. Algorithms Used In Machine Learning
You will be able to:
3.1 Explain the use of mathematics in enabling a machine to solve numerical problems.
3.2 List and describe typical algorithms used in Machine Learning
3.3 Describe Supervised, Unsupervised and Semi-Supervised learning
4. Machine Learning In Practice
You will be able to:
4.1 Describe a particular problem that can be addressed through the use of Machine Learning
4.2 Outline typical tasks required in the preparation of data for developing a particular application of Machine Learning.
4.3 Explain the process of training a Machine Learning model.
4.4 Explain the process of testing a Machine Learning model
4.5 Discuss how to evaluate the results of testing in order to identify the information to be shared
This award sits within the Machine Learning & Other AI Techniques area of the AI Foundation Pathway and offers an essential technical education to support your next career move.
You’ll learn about:
The BCS Foundation Award in a Machine Learning has been designed for individuals interested in furthering their understanding of the more technical aspects of AI. This Foundation Award is ideal for those who wish to gain an insight into this type of AI technology. Machine Learning is becoming much more commonly used, therefore it is useful for anyone, regardless of being in IT or in a technical position, to understand what Machine Learning is, its potential uses and its limitations.
Organisations will benefit by:
Individuals will benefit by:
There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.
The following titles are suggested reading for anyone undertaking this award. You should be encouraged to explore other available sources.
Title: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Author: Aurélien Géron
Publisher: O’Reilly
Publication Date: 2017
ISBN: 1491962291
Type: 16 Multiple Choice Questions, 2 Scenario Based Questions
Duration: 30 Minutes
Supervised: Yes
Open Book: No (no materials can be taken into the examination room)
Passmark: 13/20 (65%)
Delivery: Digital Format Only.
This award contributes 4 credits towards the:
Other Machine Learning & Other AI Techniques awards in the AI Foundation Pathway include:
The term is becoming commonplace in organisations in every sector and now you will qualify your understanding of machine learning in this bitesize course: what it is; where and how it’s used; along with an introduction to the types of coding and algorithms involved.
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