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Hello ML

5,500.00

10 Sessions

In today’s world, we are surrounded by machines. From phones, Alexa to even the humble toaster, machines are getting smarter by the day. What makes it possible? How much smarter can they get? Machine Learning explores the science of how computers learn without being explicitly programmed.

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Sub ModuleDescriptionLearning OutcomesProjectsChild investigations
Getting Started To understand machinesLearning, children will explore how we(humans) learn. This session further explore some key breakthroughs in computing that is enabling the machines that are shaping our future in making that possible1. Appreciate the role of machines in our daily life
2. Compare and contrast human and machine learning/intelligence
1. Make an intelligence scale chart of the things they interact with (Plants, animals, things, machines, and humans)
2. Roleplay on the futuristic world with Advanced AI
How human intelligence and Artificial Intelligence are similar and different
Why is machine learning a buzzword today?
How machines can learn compared to humans
What are some things machines can do faster than humans and vice versa?
Intro to MLA self-driving vehicle can learn how the human driver is driving and then drive just like him/ her. Or like google images shows the image of a car by learning from humans how the car images are recognized and then goes on to perform the task. They will explore this through unplugged activities and simple programming1. Describe what is AI and ML
2. Describe the key stages in ML
3. Explain the usefulness and relevance in today’s age
4. Understand a top-level overview of how they are being used
Make a color sorter using an existing ML engineHow can existing solutions be made better with ML?
Programming and MLChildren will refresh some basic programming concepts before they start working on some ML libraries1. Refresh programming/python basics
2. Familiarize with relevant ML libraries and Tools
Build Speech to Text converterWhat are some programming languages that are popular for ML and why?
What parameters are used to decide what tools and libraries to use for a problem
Types of Learning – Supervised LearningWe take a deep dive into Machine learning here. Children will explore the entire process of how a supervised learning solution works – Creating a learning library, training, feedback, and more.1. Describe the Supervised Learning model
2. Elaborate the key features and common use cases for this
Make a facial mood recognizerWhat is the role of a teacher in our learning and is it similar for machines too?
Types of Learning – Unsupervised LearningChildren will explore the entire process of how an unsupervised learning solution works.1. Describe the unsupervised Learning model and how it compares against supervised learning
2. Elaborate the key features and common use cases for this
20 Questions Game (Akinator)If machines learn on their own, can they surpass humans?
Guided ProjectChildren will work in groups to build a project of theirs using the concepts they learned in the coursework1. Use the ML concepts to develop a solution with the help
1. Handwriting Recognition
2. Conversation Partner
3. Where’s Waldo
4. Make a chatbot
5. Photo sorter
What does it involve in making a complete ML-based solution from the beginning
Unguided ProjectChildren will work in groups to build a project of theirs using the concepts they learned in the coursework1. Use the ML concepts to develop a solution on their ownWhat are some problems that are relevant to me that can be solved using ML

New Batches Starting

22 Mar 2021

17 May 2021

Flexi Class Available on Request

The fee Mentioned is only for 10 sessions. Guided and Unguided Projects may take longer depending on the learners

 

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