Anna Koop
This course 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 course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications. This is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. The Alberta Machine Intelligence Institute (Amii) is home to some of the world’s top talent in machine intelligence. We’re an Alberta–based research institute that pushes the bounds of academic knowledge and guides business understanding of artificial intelligence and machine learning.
Instructor Details
Courses : 4
Specification: Introduction to Applied Machine Learning
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39 reviews for Introduction to Applied Machine Learning
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 9 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Sj –
The specialization based on this course sounds good. If the specialization delivers on what this course promises, it could be extremely valuable. However, I do not like how this introductory course was used in adjunction with the free 7–day trial. This course merely introduces important concepts while the rest of the courses would be the ones actually helping us learn the material in–depth, assuming they are able to deliver on that. I don’t personally like how this 3–hour course just introducing terminology, even if it was informative, was released with the free trial for the entire specialization. I can’t judge the specialization by this course.
Lindsey R –
This course is a great as a non–technical introduction to machine learning processes from a business perspective. The explanations are very clear and the pace of the course wasn’t too slow, so it didn’t drag.
Luiz C –
Content done in 4 hours. A very general introduction. It is clearly targetted at Managers and practitioners interested to apply ML in the industry or private companies. It’s much about issues dealing with ML project management. Not much of technical knowledge about ML here. Videos are clear. But I don’t think it deserves a course in full. I an interested to do the next Courses of the Specialization to see how it gets more concrete
Elias P –
Simple Awesome course!
Marisa T –
Anna Koop has a very engaging onscreen personality that makes it easy to follow her explanations of machine learning.
Stewart A –
Excellent first course on ML
Jani R –
Solid introduction to the Machine Learning Lifecycle and other intro topics in ML
Michael S –
Really good.
Gopi G –
Great intro to ML. Anna Koop has great knack for teaching …
Gustavo G A –
Very good. Interesting format and method to introduce the basic concepts.
Patrick L –
v e r y g o o d i n t r o d u c t i o n
Abdullah A –
very comprehensive course on applied machine learning. the most interesting information in this course is business needs for ML and what it’s requirement to have a good QuAM.
Adhikari M T B A –
This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent content and very knowledgeable instructor!
Silvia E –
Loved it
efren c –
Very informative, highly recommended to anyone with an interest in starting any ML project in the future.
Vern E –
I have taken a great deal of knowledge in this course and have applied it to what I have seen in the ML and AI world. This was a great introduction!
Kirkpng –
refresh course and I learn something new
Nancy A A –
thanks for gain this opportunity to learn
Pablo M R –
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…
Vivek R –
Very good introductory course!
Jean M G –
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.
Chandrashekar B S –
I’m enjoying this process of studying!
KONAKALLA S V K S –
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.
najla –
very solid and the instructor is really good
Omar H –
This course was very helpful and fruitful. It is a good entry for machine learning and I really recommend it. Thanks, Anna, Thanks, amii
MALIKI M –
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.
Olof B –
Good introduction to ML
Fezile M –
Great Introductory course, it was delivered very good. I picked up a lot of different definitions which were simplified. Very Good!
vimard v –
really great course with many informations
Chi–An C –
It’s a great overview course for practical machine learning.
bhuwanesh t –
Course gives a broader understanding of any Machine Learning project, how to approach and what are the important things to keep in mind.
Rob B –
An excellent, non–technical overview of Machine Learning projects for business managers. Recommended for those wanting to build broader AI and machine learning literacy and understanding within their organizations.
Emilija G –
The whole specialization is extremely useful for people starting in ML. Highly recommended!
Ubaid–ur–Rahman –
The course was a really good one introducing you to the machine learning and how you should think and approach an ML problem.
Kanishk A –
Very good course for ethics and introduction to the basic concept of Machine Learning.
Shingo F –
The lectures are good but no textbook is available. This makes me hard to review what I learned. In addition, I wanted to know the answers after the exams are over but I couldn’t. Please give us the explanations of the exams.
Saleha Z –
t refreshed my previous concepts of machine learning with better understanding
Ali H –
It is a good start. For sure, this course is recommended for everyone who is not in the computer science world.
Valerii M –
Nice course! Good idea to add more practice with Jupyter Notebooks!