Applied Machine Learning Basics
- Certification included
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The goal of this course is to introduce Machine Learning and give you experience using one common ML function, image classification. Becoming familiar with one method gives you an advantage when encountering new procedures, enlarging your pool of marketable skills. You will train and build a classification model, then deploy your code on a website, Raspberry Pi, or your phone. After taking this course you should feel ready to take more advanced AI and Machine Learning courses. Having constructed one actual product, you will be better able to apply new knowledge in practical settings.
• Define Machine Learning, describe what kinds of problems it can solve. • Differentiate the 3 main approaches to Machine Learning. • Describe the process of using ML to create useful applications. • Collect, clean, and import data and convert them to datasets. • Set up training and testing code procedures. • Interpret training data to improve learning. • Create a model and give options for deploying it.
• Basic Linear Algebra and Probability • Some Python Most of the code in this course runs in Python. Basic syntax knowledge will help you understand what you see, but you should be able to do most exercises without writing much code.
This course includes all required materials. Learners must have access to an internet connection and an internet ready device.
• 100% Online, Self-Paced • Open Enrollment • Admissions and Student Support • Multimedia Rich and Interactive Content