Chevron Left
Back to Machine Learning Algorithms: Supervised Learning Tip to Tail

Learner Reviews & Feedback for Machine Learning Algorithms: Supervised Learning Tip to Tail by Alberta Machine Intelligence Institute

4.7
stars
405 ratings

About the 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....

Top reviews

TH

May 14, 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.

DS

May 6, 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.

Filter by:

51 - 65 of 65 Reviews for Machine Learning Algorithms: Supervised Learning Tip to Tail

By CHILUKURU S A

Oct 22, 2020

By Ubeydullah K

Nov 11, 2021

By Morgan S

May 23, 2021

By Andrey Z

Dec 29, 2021

By Kham H Y

Oct 28, 2020

By nouran a

May 7, 2020

By Saksham G

Apr 4, 2020

By Daniel W

Nov 28, 2020

By Grecia P

Mar 3, 2020

By MARRU R

Dec 18, 2020

By sandeep d

Aug 27, 2020

By Nicolas G

Apr 17, 2021

By PIYUSH G

Apr 8, 2020

By Raghuram T

Oct 10, 2020

By Carlos E

Oct 12, 2021