Machine Learning for Kids
Machine learning for kids is a web-based tool that was design to use in a class room to teach student hand-on experience about machine learning. With this tool, you will be not only learn about how to train a machine learning project but you will also learn how to make them.
This tools use Scratch or in other words, they extend Scratch, a visual programming environment that was created to tech coding to kids.
This is a simple tool that can teach you about machine learning by making things. This simple tool could be use to learn a variety of machine learning training models. This tool also provide environment for creating games and other interacting projects.
In their website, they also provide some worksheet that we can use as an example when teaching. There are many projects that has been made in the worksheet and it can be downloaded for free.
This is a very good tools for teachers and student. Go checkout the project to learn more from machine learning online training
Understand “Artificial Intelligence” and “Machine Learning.”
The words, Artificial Intelligence and Machine Learning, sound complex, but they are not that difficult to grasp.
Human Beings were responsible for giving every direction to machines in the past, but not any more. Artificial Intelligence means equipping machines with the power to make its own decision like human beings. How to give them power? We can do that with the help of machine learning.
Just like human beings store the information in their brain and learn from its patterns, the scientists have also been able to use the stored machine information to make machines learn from them.
For instance, human beings know that fishes swim on the water by storing “fish” in their brain and watching them float on the water over and over again. Likewise, machines can also do the same by analysing the patterns from their stored information (Machine Learning) and coming out with the conclusion to make decisions like human beings (Artificial Intelligence).
I know that your kids will not go in-depth about AI and Machine learning with the examples that I’ve given above, but they will be good enough to advance.
Resources that simplify AI and Machine Learning for Kids
We can learn anything instantly, thanks to access to the internet. Due to an easy and affordable access to the knowledge and information, more and more people are opting for e-learning.
There are tons of free information available on the internet. Here are some of the links to the top resources available online for teaching AI and Machine Learning to your kids.
- Tyler: Tyler, a data specialists, has simplified machine learning for both kids and CEOs. Parents can go through his article and educate themselves and their kids, the way he suggests.
- Alishah: Alishah is a software engineer by profession. Alishah, in his article, has demonstrated the way to learn AI via probability and entertainment.
- Sherol Chen: Just go through Sherol’s three-step process and her resources that simplify AI to the kids.
Apps to understand AI and Machine Learning
There are plenty of apps to help your children get an in-depth understanding of AI and machine learning. Here are some of them:
- Pika: Pika is an entertaining camera app for kids. It allows kids to photograph colours and make robots learn about the colours. It is quite challenging for kids, which would make them love this app. Furthermore, the kids also earn badges with each milestone to encourage them to learn with passion.
- Machine Learning for kids: This app provides parents with scratch and spreadsheets. You will be able to track the progress of your kids via this app. The kids can also teach machines via image selection.
- Dalton Learning Lab:This application offers numerous tools to help parents with AI and machine learning. The Scratch option is free for parents, and there is no need for you to either register or make an account on this website.
- Kano Computing: Kano Computing enables kids to develop their version of computers. Then, they need to program that computer for the completion of tasks. The guide is available for helping kids with the learning process. machine learning online course for more details.
- VIPER: Wonderville introduced a game, Viper, to make machine learning interesting for kids. In this game, the kids program a robot for exploring Europa.
Over to You
By the time your kids will be ready to work in an organisation, AI and machine learning may mature a bit. What do you mean by “a bit mature”? The AI and machine learning are still in its infancy. It sounds surprising, but it is true. We are yet to see the full potential of AI and machine learning.
As a parent, it is a smart move to start teaching your kids about AI and machine learning to secure their future. Even if your kids do not want to pursue their career in the field of computer science, the knowledge of AI and machine learning will give them a massive boost in their chances of landing a job.
Machine Learning (not only for) for Kids
There is only one effective learning principle when it comes to machine learning: "Hands-on learning is key." Neither kids nor adults are able to develop a clear understanding what machine learning is and how it works without trying it for themselves, ideally with use cases that are interesting and relevant to the individual.
How it works: Kids and adults can train and start using their own machine learning models in 3 quick steps:
1. Find examples of text, images, or number patters the machine learning model should recognize
2. Push the button to train the model (it's that easy)
3. Use the model instantly via a Scratch extension
Examples of what you can do: It's powerful stuff
On his website, Dale provides a wealth of clever kid-friendly work sheets that at the same time teach kids how grown ups create enterprise-grade machine learning models. And most importantly, kids learn at young age that there is no such thing as artificial intelligence. All we do is provide examples of different concepts to the machine and hope that these examples are sufficiently diverse and comprehensive to help the algorithm create an inference model of the desired reliability.
Pros:
Kids can see cause and effect within minutes
Fantastically simple user interface for training machine learning models
Kids can gradually observe how well their model works based on different sets of training data
Kids see the limits of machine learning, as they will experience non-sensical results, as we experience them within our own enterprise context learn machine learning online more effectively
Put your own models to work in MIT's Scratch visual programming language.