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High School Machine Learning and Applications

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Suggested Prerequisites

Procedural Programming and Data Analytics and Database Design

Description

Are you ready to elevate your data and database skills and unlock the potential of machine learning? In this dynamic course, you'll dive into the fascinating connection between artificial intelligence and machine learning, uncovering how they shape our world. Discover the crucial role of ethics in AI and machine learning, ensuring responsible design. Harness the power of Python to design and train machine learning models. Explore the intricacies of supervised, unsupervised, and reinforcement learning, and the complexities of neural networks. Along the way, you'll also identify the limitations of AI and explore the exciting career opportunities awaiting you in this rapidly evolving field. Get ready to embark on a fun and challenging learning journey!

Module One: Artificial Intelligence

-Knowledge vs. knowing

-Sense-act-deliberate cycle

-AI vs. machine learning

-Abstractions

-Natural language processing

-Coding a chatbot


Module Two: Machine Learning

-Machine vs. human learning

-Types of machine learning

-Neural networks

-Training data

-Types of data

-Data processing cycle

-Design thinking


Module Three: Society, Ethics, and AI

-Impact of AI on various industries

-Data proxies

-Genetic algorithms

-Robotics and computer vision

-Personal responsibility in AI

-AI bias

-Humans in the loop

-Potential consequences of AI

 

Module Four: Designing and Training Models

-Machine learning life cycle

-Model validation

-Model deployment

-Machine learning statistics

-Model fairness

-AI tools


Module Five: Using Machine Learning

-Supervised learning

-Model features

-Unsupervised learning

-Neural networks

-Reinforcement learning

-Q-learning


Module Six: Preparing for the Future

-Machine learning data

-Securing data

-Garbage in, garbage out

-Failure modes

-AI careers

-Responsible AI

-Continuing education