Web Development
Python
SQL
JavaScript
Data Science
Artificial Intelligence
IT & Software
IT Certifications
Hacking
Arduino
AWS
3D Modeling
Graphic Design
Photoshop
Drawing
Digital Painting
UX Design
Business
Data Analysis
Communication Skills
Project Management
Leadership & Management
E-Commerce
Digital Marketing
Social Media Marketing
Marketing
SEO
Google Analytics
Branding
Office Productivity
Excel
Finance & Accounting
Bitcoin
Video Editing & Animation
Photography
Adobe Premier Pro
Adobe Lightroom
Personal Development
Health & Fitness
Music
Guitar
Teaching & Academics
Language Learning
Engineering
LifestyleIntroduction to Applied Machine Learning
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results,
Created by: Anna Koop
Course Description
Instructor Details
- 4.8 Rating
28 Reviews
Anna Koop
Anna is Senior Scientific Advisor at the Alberta Machine Intelligence Institute (Amii), working to nurture productive relationships between industry and academia. Anna, whose research mainly focused on reinforcement learning, received her Master's in Computing Science under the supervision of Dr. Richard Sutton, one of the field's pioneers, and she is currently a PhD candidate working to develop algorithms for real-time learning in dynamic environments. Passionate about making science accessible for all, Anna has developed and taught a wide range of computing science classes through the University of Alberta.
More courses by Anna Koop
Machine Learning Algorithms: Supervised Learning Tip to Tail
4.5 (4 Reviews)
Provider: Coursera
Time: 12h
Free
More Artificial Intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
- Provider: Coursera
- Time: 15h
Free
Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)
- Provider: Udemy
- Time: 14.7h
$79.99
Reviews
By Fezile M on 12-Nov-19
Great Introductory course, it was delivered very good. I picked up a lot of different definitions which were simplified. Very Good!
By MALIKI M on 29-Oct-19
I have really got benefit from this course as a beginner to ML, it gives me the best understanding of ML. I m looking forward to getting into it more efficiently with more practices.
By Omar H on 25-Oct-19
This course was very helpful and fruitful. It is a good entry for machine learning and I really recommend it. Thanks, Anna, Thanks, amii
By KONAKALLA S V K S on 14-Oct-19
This course will give the actual understanding especially focusing on different types of Machine learning with real examples. I'm so excited to learn more about it.
By Jean M G on 6-Oct-19
I liked very much this course on Machine Learning. The theoretical background is really fantastic on how to build your QuAM and also the Machine learning Process Lifecycle. Additional things are related to what Machine Learning is and the differences with other disciplines such as Artificial Intelligence and Data Science.
By Pablo M R on 28-Sep-19
I enjoyed this course. It was a good refresher but I believe that it is also good for people that want to understand this Machine Learning hype...
Showing 12 of 28 reviews
Could not load more reviews.
Quality Score
Overall Score : 96 / 100
- Video Duration:
9h - Price: Free
- Provider: Coursera
- University:
Alberta Machine Intelligence Institute - Language:
English - Certificate:
Yes
Coursera Coupon Price Tracker
