Alberta Machine Intelligence Institute
Machine Learning Algorithms: Supervised Learning Tip to Tail
Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail

This course is part of Machine Learning: Algorithms in the Real World Specialization

Taught in English

Some content may not be translated

Anna Koop

Instructor: Anna Koop

16,366 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(410 reviews)

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95%

9 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(410 reviews)

|

95%

9 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Machine Learning: Algorithms in the Real World Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Welcome to Supervised Learning, Tip to Tail! This week we'll go over the basics of supervised learning, particularly classification, as well as teach you about two classification algorithms: decision trees and k-NN. You'll get started programming on the platform through Jupyter notebooks and start to familiarize yourself with all the issues that arise when using machine learning for classification.

What's included

8 videos4 readings2 quizzes2 ungraded labs

Welcome to the second week of the course! In this week you'll learn all about regression algorithms, the other side of supervised learning. We'll introduce you to the idea of finding lines, optimization criteria, and all the associated issues. Through regression we'll see the interactions between model complexity and accuracy, and you'll get a first taste of how regression and classification might relate.

What's included

9 videos1 reading4 quizzes

This week we'll be diving straight in to using regression for classification. We'll describe all the fundamental pieces that make up the support vector machine algorithms, so that you can understand how many seemingly unrelated machine learning algorithms tie together. We'll introduce you to logistic regression, neural networks, and support vector machines, and show you how to implement two of those.

What's included

6 videos1 reading2 quizzes2 ungraded labs

Now at the tail end of the course, we're going to go over how to know how well your model is actually performing and what you can do to get even better performance from it. We'll review assessment questions particular to regression and classification, and introduce some other tools that really help you analyze your model performance. The topics covered this week aim to give you confidence in your models, so you're ready to unlock the power of machine learning for your business goals.

What's included

8 videos1 reading1 quiz1 ungraded lab

Instructor

Instructor ratings
4.7 (76 ratings)
Anna Koop
Alberta Machine Intelligence Institute
5 Courses36,028 learners

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