Demystify Machine Learning

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In this course picker times will be displayed in timezone chosen above but all times shown elsewhere will reflect the UK Times these events take place.

February
Online - Remote Learning
Mon Feb 15th - Fri Feb 19th 10:00am-3:00pm 5 Days
£395Details
March
Online - Remote Learning
Mon Mar 29th - Fri Apr 2nd 10:00am-3:00pm 5 Days
£395Details

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.

 

Ages:

13-17

Equipment:

Laptop, required

Currently available in:
  • Online
Pricing details
Price:  

£395

Course highlights

MACHINE LEARNING TYPES

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

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

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

Featured FAQ

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 …

Photo: Demystify 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-Bayers
  • 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

Week Long: 10 am to 3 pm

10:00 AM

ICON: Lesson starts

Lesson starts

11:00 AM

ICON: Break

Break

11:15 AM

ICON: Lesson continues

Lesson continues

12:15 PM

ICON: Lunch

Lunch

1:15 PM

ICON: Lesson continues

Lesson continues

2:00 PM

ICON: Break

Break

2:15 PM

ICON: Lesson continues

Lesson continues

3:00 PM

ICON: End of day

End of day

Demystify Machine Learning FAQs

Questions and answers of the customers


Meet Leszek

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. 

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"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