"I learnt so much and the course has definitely made me consider studying computer science and coding in the future."
Aaniya, Teen student
Machine Learning For Artificial Intelligence – On Campus
Machine Learning and Data for Teens
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.
For online courses: these require you to have a capable computer to work on and a broadband internet connection. Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here.
For on campus courses: laptops are provided for all junior courses, as well as Music, Unity, Creative Design & YouTube senior courses. Laptop rental is available for all other senior courses (£50 extra).
_Pick your start date
Machine Learning For Artificial Intelligence - On Campus
This product is currently out of stock and unavailable.
jQuery('#hs_formcontainer').html(show_unavailable_product_request_form());Course highlights
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-Bayes
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
Course Overview
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
- Classification
- Decision Trees
- K-nearest Neighbour
- Naive-Bayes
- 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
Typical daily schedule
On Campus 12-17
1.5 hours
Kick off
10 minutes
Break
50 minutes
Lesson time
1 hour
Lunch
75 minutes
Lesson time
10 minutes
Break
50 minutes
Lesson time
15 minutes
Stand ups and finish
