"The course has expanded my knowledge and ability to integrate my code with other programmes so I can do more. I love the tutors because their passionate and very knowledgeable."Zohar, Unity 3D Student
Demystify Machine Learning
Machine Learning and Data for Kids
NEW! From decision trees to neural networks, this course will equip you with the tools to create and manipulate Machine Learning models using Python and Google Collab.
MACHINE LEARNING TYPES
Learn all about the different types of Machine Learning models and how they they each work. We'll look at Decision Trees, K-nearest Neighbour and Naive -Bayers
PYTHON & MACHINE LEARNING
You'll learn how to use python in Google Collab to integrate data using different models as well as importing different modules into python
MACHINE LEARNING & DATA
Using external and internal data sources we'll show you how to make predictions using machine learning. This is one of the most powerful things you can do with Machine Learning
What are the course instructors like?
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science …
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science and Engineering students from the UK's leading universities.
All our instructors undergo in-person training from the Fire Tech team in the curriculum of the course they are teaching, in the Fire Tech mission and values, and in our Child Safety Policies. We select our instructors on technical expertise but also for great communication skills and a real passion for their subject.
Join this course and learn all about Machine Learning and the amazing things it can do.
We’ll show you how to use Google Collab to make Machine Learning projects. You will also be shown TensorFlow, SciKit Learn, importing Python modules and tKinter to create graphical projects.
Topics covered will include:
- Computer Vision
- Text Recognition
- Decision Trees
- K-nearest Neighbour
- Intro to Deep Learning
- Neural Networks
This course will address principles of Artificial Intelligence but won’t go into detail of how to implement it into projects. If you want to learn about A.I please look at our Senior Adventures in A.I course here.
What your child will learn
- The fundamentals of Machine Learning and what computer confidence means
- What Machine Learning can and cannot do well
- The difference between Artificial Intelligence, Machine Learning and Deep Learning. You'll also look at the benefits and drawbacks of each
- The three main types of Machine Learning Decision Trees, K-nearest Neighbour and Naive -Bayers
- Using data form external sources as well as how to link to your own data sets
- Learn about Python specific code to utilise new modules for use in their models
- Learn the basics of TensorFlow, SciKit Learn, pandas and tKinter
Typical daily schedule
End of day
Demystify Machine Learning FAQs
Leszek studies Electronic and Information Engineering at Imperial College London and teaches our coding courses. He loves using his STEM skills to bring people together and recently created an Imperial college fantasy football app that connects 200 players together.View Coding Courses >>