The term is becoming commonplace in organisations in every sector and now you can qualify your understanding of machine learning in this bitesize course:
DurationThe term is becoming commonplace in organisations in every sector and now you can 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.
What Will I Learn?
This award sits within the Machine learning and 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:
what machine learning is
coding for machine learning
algorithms used in machine learning
machine learning in practice
Entry requirements
There are no pre-requisites for entry to the exam.
At BCS, we’re on a mission to ensure everyone’s experience with technology is positive. It’s something we’ve been committed to since 1957.
Who We Are
We're over 70,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers all committed to our mission.
As a charity with a royal charter, our agenda is to lead the IT industry through its ethical challenges, to support the people who work in the industry, and to make IT good for society.
What We Do
At BCS, we're ensuring the digital journey is safe and positive for everyone, by raising standards of competence and conduct across the IT industry and tackling the ethical challenges we face along the way.
Everything we do at BCS is built on our four strategic pillars, which make it possible for us to raise standards and realise greater potential in the technology industry.
Join us as we explore the world of Machine Learning (ML) using Python! The course is designed for individuals who wish to advance their careers in Data Science or get started in Machine Learning.
The course is aimed at delegates with a Mathematical and/or Data Science/ML background. Good programming knowledge, especially using the Python programming language. Some experience and familiarity with the Pandas, Numpy and MatPlotLib python libraries for data analysis.
In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.
Machine learning is one of the most exciting and dynamic fields in the world of data science. Everything from smartphones to autonomous cars, improved healthcare and climate prediction are built on these powerful set of tools for generating useful predictions from data.
You will learn how to get your data ready to begin creating Neural Network Models to classify natural text, images and learn to solve regression problems. We'll talk about the ethics of AI too, as this is an area often overlooked.
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