Byte-Sized-Chunks: Recommendation Systems (Udemy.com)

This course delivered sounds knowledge on recommendation systems. I learnt a lot and the way it was delivered also very engaging. However, I would love to see further course contents on the deep learning model base CF lectures. That was the only missing part for me. Overall highly recommended. Thanks.

Speaking as a professional science teacher (I am now moving into data science for family health reasons): This has the makings of a great course. Please keep at it and keep refining this course, it can be great. Courses like products take many 'iterations' to develop properly. The goals and focus of the course need to be more clear. Something that can take while to learn when learning how to teach, is just how detailed and specific the teaching plan needs to be. What are your teaching goals for this course exactly, not roughly, very exactly? e.g. What is a survey? Why? is that clear to the audience What is in detail? Why? is that clear to the audience What exactly are you preparing the audience to be able to do? Have you 'user-tested' this with a cross-section of people (ages, backgrounds) to see whether this is effective in meeting your goal? How do you accommodate variation in the user population? Also: The overall idea is great: please re-record the audio, it is very difficult to concentrate on: - the volume goes up and down - the pace goes up and down - the sound quality goes up and down - the cadence is sometimes random as if reading a script without comprehension - the music in the background is only an obstacle to understanding what the person is saying. + - some examples (e.g. where dot products fit in) are not clear at all. - it isn't that the text-animations are a bad idea, but they are often confusing because they are not synced to the dialogue: so if you are watching the text animation, the dialogue is talking about a different topic, which is distracting and confusing. (e.g. an animated arrow pointing to something that is not what the speaker is saying, which then does not reinforce what the speaker is saying). Q: Which naming conventions are standard and should be studied, and which are arbitrary? (e.g. R,P,Q) - many of the slides are very 'busy,' with a lot of things on the slide that the speaker is not talking about. e.g. The start of lecture 10: begins with a large full slide of text..." where" is the lecture on that slide?

Good overview course, I would add some kind of interactive element to reinforce the learning. It is very hard to just watch someone else code without getting distracted. But it's a good start!

I like this course because it helps me understand the recommendation system in a big picture. However, I think learning theory together with inplement will better help understanding. And show data while implementing would be nice because it takes my time to figure out what are the data and how it is operate while coding. It also good to suggest some community to find more information about this field. ;)

You could cut the audio in the background while explaining the concepts. Looks extraneous. Thanks.

Most of the words she said I don't understand. It is funny to see how machine read her words when I turn on the Caption. I suggest they use AI voice like some courses do. The content of the course itself is pretty decent

The course is understandable and nice to follow. The instructor elaborate well enough on each topic and each line of code written. I actually used some parts of the codes for proof of concept of some real world applications.

The content is relevant and it shows both theory and practice. However, the didactic is not the strong point. The lecturer has a bad english pronunciation and does not speak in a fluid way which makes the understanding. Plus, the song in the background is pretty annoying.

I think the course was simple and easy to follow. Kudos to the instructor, I think her name was Janani. Thank you !

Good quick overview. The coding examples are well explained even if the code itself is a bit simplistic. It would be good to see a deeper dive in this topic.