Machine Learning & AI
Level 4.1
Ages: 14 - 18 Skills Level: Beginner - Advance. Tools: Python, IDLE
In this course, students will understand the basics of how machine learning and AI work, affects our world, and start making their own machine learning-powered projects. Students will explore ways that AI is applied to data, tools, and how services, and how they can apply AI to their own projects
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Each chapter have projects, exercises and quiz and unit test will be happen at the end of each unit
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Works on various projects and game development which will build student logical and critical thinking as well as problem solving skills. Students will be working on lot of exercise, more they more stronger there concepts will be.
This course/level is consists of 24 classes. Each course typically takes 3-6 months to complete This depends on the student's dedication to homework, their previous experience, and the difficulty of course material. Our instructors move at the pace of the student, taking extra time to reinforce concepts as needed.
Course Curriculum
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Exploring AI: What's out there, how does it work, how does it affect us?
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Learn to implement a supervised machine-learning model
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Applying datasets to a machine-learning algorithm to model performance and track patterns
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Setting up and training a neural net Testing and evaluating predictions
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Basics of Linear regression
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Generating a model from a data set
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An introduction to Machine Learning: What it isn't and Neural Networks
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Keras & Gym: "Balanced. As everything should be."
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Navigating OpenAI Gym, Using Keras' Functional API
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Machine Vision Learning How to Learn. Solving the Taxi Problem with Q-Learnin. Build a better Atari Gamer
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NLP: The world's greatest Data-Store
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About Auto-Encoder-Decoder Networks