Name: Machine Learning Algorithms: Supervised Learning Tip to Tail
Brand: Alberta Machine Intelligence Institute
Availability: OnlineOnly
Rating: 4.7 (66 reviews)

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Learner reviews & feedback for Machine Learning Algorithms: Supervised Learning Tip to Tail

4.7417 reviews

About this course

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.

To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.

Featured reviews

5.0Reviewed Jun 23, 2020

Easy and engaging. But would loved it more if some more coding examples were given.

4.0Reviewed May 7, 2020

Many useful information but need some more explanation, overall awesome

5.0Reviewed Sep 30, 2020

Great course, easy to grasp the main idea of how to assess and tune the performance of question-answering machines learned by machine learning algorithms through data

5.0Reviewed Sep 1, 2020

really good, wish it had covered random forest and decision trees and other supervised models as well.

5.0Reviewed Oct 4, 2020

Great learning..Talked almost all important issues.

5.0Reviewed May 7, 2020

Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.

5.0Reviewed Jun 5, 2020

It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.

5.0Reviewed Jan 9, 2020

The whole specialization is extremely useful for people starting in ML. Highly recommended!

5.0Reviewed Dec 9, 2020

I found the course to be enough detailed to get clarity on the basic concepts of Supervised learning algorithms. I hope to apply the learning from the course in work!

5.0Reviewed Apr 12, 2020

Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.

4.0Reviewed Oct 28, 2020

Learn some valuable insights on scikit-learn capabitlity through the labs

5.0Reviewed May 15, 2022

This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.

All reviews

Showing: 20 of 66

Efren Carbajal

5.0

Reviewed Jan 14, 2020

Excellent course, I was looking for a course which didn't explore advance math or go into the specifics of a particular ML method but which focuses on the main differences among then and teach about the whole process of M, this is the best course for that.

Tino van den Heuvel

5.0

Reviewed May 16, 2022

This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.

S. kamatchi

5.0

Reviewed Apr 12, 2020

Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.

Dishant Singla

5.0

Reviewed May 7, 2020

Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.

Ram Mehta

5.0

Reviewed Dec 9, 2020

I found the course to be enough detailed to get clarity on the basic concepts of Supervised learning algorithms. I hope to apply the learning from the course in work!

Chih-Ta Wang

5.0

Reviewed Oct 1, 2020

Great course, easy to grasp the main idea of how to assess and tune the performance of question-answering machines learned by machine learning algorithms through data

Fahim Faisal

5.0

Reviewed Apr 17, 2020

Great course but less in-depth knowledge about each of the hyper parameters and under the hood view of Algorithms.But excellent. Thanks!!!!!!

5.0

Reviewed Jun 19, 2020

A great short capsule course to get overall bird view on Supervised learning. Much needed one for both practitioners and new beginners.

KAZI SAFOWAN SHAHED

5.0

Reviewed Jun 15, 2020

although the course felt a little hurried, I found the course and the instructor to be very engaging. I look forward to learning more

Bishrul Haq

5.0

Reviewed Jun 6, 2020

It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.

Kevin Armando Díaz Guarneros

5.0

Reviewed May 11, 2020

The explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.

Vinayak Dhruv

5.0

Reviewed Sep 1, 2020

really good, wish it had covered random forest and decision trees and other supervised models as well.

Emilija Gjorgjevska

5.0

Reviewed Jan 10, 2020

The whole specialization is extremely useful for people starting in ML. Highly recommended!

Munem

5.0

Reviewed Jun 24, 2020

Easy and engaging. But would loved it more if some more coding examples were given.

Valery Marchenkov

5.0

Reviewed Mar 31, 2020

Nice course! Good idea to add more practice with Jupyter Notebooks!

Morgan Jones

5.0

Reviewed Oct 31, 2019

Great course! I received so much useful information from AMII.

Miguel Angel Sanchez Marti

5.0

Reviewed Oct 15, 2019

Excellent.

Teach you practical stuff that other courses don't.

Hamza Maqbool

5.0

Reviewed May 2, 2020

A good refresher on some commonly found learning algorithms.

Gustavo Israel Montenegro Vargas

5.0

Reviewed Dec 3, 2020

It was an excellent course. Thank you! You are a master!

dinesh kumar

5.0

Reviewed Oct 4, 2020

Great learning..Talked almost all important issues.