Register for the Fall Session!

Learn How To Teach Your Computer To Play Games, Talk Smart, See Things, Sort Stuff

Learn how to teach computer to do cool things using Python. Get ready for the Mass Science Fair. Meet old and make new friends. Have fun!

See Fall Schedule

Get Your Child Ready For The Future

`Machine learning is all around us. We all use machine learning systems every day – such as spam filters, recommendation engines, language translation services, chatbots and digital assistants, search engines, and fraud detection systems. It will soon be normal for machine learning systems to drive our cars, and help doctors to diagnose and treat our illnesses. It's important that kids are aware of how our world works. The best way to understand the capabilities and implications is to be able to build with this technology for themselves.` – Dale Lane, IBM

Learning by Doing

When kids make something, they get excited! Our syllabus is divided into projects; each eventually becomes a product kids can share with family and friends. Why project-based learning? Because as students focus on creating a game they can show to their friends, they’re learning other skills necessary for other STEM classes. That's why most of our class time is dedicated to projects rather than lessons. The ML4K training program has 3 major sections: Machine Learning with Scratch (S), Machine Learning with Python (P) and Mass Science Fair Competition preparation (C). Placement to the program is done based on the student's skills . You can find more detailed information below.

S

Machine Learning with Scratch

We'll start the training course by learning how to teach computer to play Rock, Paper, Scissors and recognize cartoon characters.

  • 12 classes per course. Suggested for grades 2-5. Classes meet weekly on Tuesdays.
P

Python for Machine Learning

After learning the basic concepts, we will move to working with popular modern machine learning frameworks.

  • 12 classes per course. Suggested for grades 6-12. Classes meet weekly on Thursdays.
M

Machine Learning Without Coding

Anyone can do data science! No coding, no math – just visualizations and interactive data exploration! The course will be hands-on.

  • 12 classes per course. Suggested for grades 6-12. Classes meet weekly on Wednesdays..

Classes

Python’s easy-to-read syntax makes it a great programming language to start coding for middle school students. Plus, it’s one of the most popular languages for developers. Students practice coding fundamentals through Python that they’ll use as they learn basics of the Artificial Intelligence. Classes meet on Thursdays

Python’s easy-to-read syntax makes it a great programming language to start coding for middle school students. Plus, it’s one of the mot popular languages for developers. Students practice more advanced coding through Python that they’ll use as they learn basics of the data science. Classes meet on Thursdays

Machine Learning with TensorFlow course is a program that teaches the Machine Learning and Artificial Intelligence tools that can be used for building ``smart`` machines. Students learn how to use TensorFlow by completing various projects. This is a great program for students, that already have good Python Programming knowledge.

Students of this course will develop new advanced skills, as well as learn how large companies like Google, Amazon and Facebook leverage AI and Machine Learning. Covering hot topics like facial recognition and NLP (Natural Language Processing), this course will equip young learners with key Machine Learning knowledge and skills upon completion.

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When curiosity strikes and you want to amp up your skill-set, you learn Machine Learning from scratch using SCRATCH. The best way to learn about new and trending technology? Test it for yourself by creating your own projects using it! More theory and less practical work makes learning dull, but not in this course! Here you will be building your own Machine Learning projects which will give you a better understanding of how the real world works. Classes meet on Tuesdays

Python’s easy-to-read syntax makes it a great programming language to start coding for middle school students. Plus, it’s one of the mot popular languages for developers. Students practice coding fundamentals through Python that they’ll use as they learn basics of the Artificial Intelligence. Classes meet on Tuesdays.

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Anyone can do data science! After completion of this course you will understand key machine learning algorithms and be able to apply them to a wide range of problems. No coding, no math – just visualizations and interactive data exploration! No prior knowledge on data science, machine learning, or statistics is required. We will emphasize on intuition. The course will be hands-on, we will work on examples and do case studies. Classes meet on Wednesdays.

A science fair is a place for students to present their science projects to professional scientists and to the community. Its main purpose is to get you excited about science by doing it rather than simply learning about it. A scientist first asks a question about some aspect of the world and then tries to find its answer. At the science fair, each student presents a project, both visually and orally, with the question and answer displayed in an interesting way. Students should be able to explain their projects and answer questions. The science fair will also include a science activity expo, where students will have an opportunity to see and interact with cool technologies, devices, and scientists.

A science fair is a place for students to present their science projects to professional scientists and to the community. Its main purpose is to get you excited about science by doing it rather than simply learning about it. A scientist first asks a question about some aspect of the world and then tries to find its answer. At the science fair, each student presents a project, both visually and orally, with the question and answer displayed in an interesting way. Students should be able to explain their projects and answer questions. The science fair will also include a science activity expo, where students will have an opportunity to see and interact with cool technologies, devices, and scientists.

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Pricing

Our classes meet once a week during regular school season. Registration for all classes is subjected to placement evaluation.

$425 Regular Tuition

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Build a College Ready Portfolio

Every student will have a collection of completed data science projects, which shows how his or her skills and ideas have developed over a period of time.

By participating in Mass School Fair and other competitions our students stands out and create connection with University professors and industry experts.

After fulfilling all class requirements each student will be awarded with the certificate of completion as a proof of proficiency in the subject matter.

A student’s college application essay, tells one part of their story. We will help to make sure the portfolio that goes with it reinforces that story and fills in the details.

Some of Student’s Projects

Create machine learning model to teach computer how to play Rock-Paper-Scissors using web camera

Create machine learning model to use computer camera to conduct student's own orchestra through web browser

Create a data visualization and analyze causes of global warming and propose ways to reduce it.

Use machine learning models to map user's dance motion to funny doodle animation.

Questions

Q

What happens after I register ?

A Upon registration we will contact you to schedule time for the evaluation test for your kid. We will also discuss available time and locations for your classes.
Q

Do you have a referal program?

A If you recommend our classes to someone and they would register and pay tuition both you and the person you have referred will get $100 discount from our full tuition (not compatible with any other offers and discounts)
Q

Do you have in-person/online option?

A Most of our classes have both online and in-person options available. Science Fair project classes are available only in-person
Q

Who created the program of ML4K?

A We have more than 10 years of teaching and consulting in the field of machine learning, data science and data analytics. Authors of our programs have MIT and Harvard background and several years of experience judging Mass Science Fair.
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