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Thank you for the training.
Linkage between theory and application will be helpful and especially real life example.
Others will be alright

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Overall is a good exposure to the basic concepts and techniques of supervised ML, especially for beginners.
They were theoretically explained in a clear manner, and the jupyter notebook examples do provide a clearer visualization on its implementation.

In the future sessions, hope to have more in-depth exploration on the concepts i.e. the GridSearchCV, Feature Engineering, and perhaps a thorough complete detailed analysis example in jupyter notebook from pre-processing to modelling

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Thank you for the training.

The overall content is ok. Good exposure to the basics of the algorithms on the surface level.

Going through the jupyter notebook examples helps to understand how the theory is applied and what is after applying. (eg. sensitivity of k in kNN)

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Good introduction to ML for beginners, maybe possible to include more real world examples to relate in terms of industrial application.

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- Extension of knowledge from data pre-processing techniques which provides us fundamental knowledge in supervisedML
- Good exposure for beginner but less effective for more experience member.
- Slightly repetitive content with data pre-processing techniques

Agree with feedback regarding real world examples - real world examples allows us to relate the supervisedML with our working environment.

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Get to know more understanding about machine learning model.
Thank you

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Please give your comments about this module.

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Please give your comments about this module.

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My name is Terence, from Tech Research. I joined Daikin 4 years ago. Tasked with developing AI solutions and setting up data science infrastructure.

Bch Mech Eng background, undertook AI in undergrad.

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Hi, I'm Ho Shi Shing, you can call me Melvin. I join Daikin R&D as a Simulation Engineer 3 years ago. My daily job scope revolves around CFD fluid flow analysis.

I don't have any background in ML as my background is Mechanical Engineering.

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Danny your sketch is the best up to now!

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Position: R&D Engineer, Simulation
Date Joined: 01/09/2020 (1 year 2 months)
Background: Mech Engineering

Currently starting research on integrating AI with CAE simulations.
Previously, had surface exposure to some basic ML theories.

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I got a good sketch of my own. Please like it

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I am Lim CM ( You can call me CM/Sam). I have been in Daikin for 9 years. Mechanical background and ZERO knowledge about Machine Learning. Looking forward to learn from everyone!

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I am Jun Ket. Working as R&D engineer in Daikin R&D Malaysia. I joined here for 5 years. Currently I am working with tasks related with data science.

Mechanical engineering background. And I have experience with ML before this.

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Thulasy

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Hi, my name is Kek Zi Xiang(Kek). I am Reliability Engineer at Daikin R&D Malaysia. I joined Daikin about 3 years. My daily job scope is Air Conditioning Product Testing

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Hi, my name is Kek Zi Xiang(Kek). I am Reliability Engineer at Daikin R&D Malaysia. I joined Daikin about 3 years. My daily job scope is Air Conditioning Product Testing

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My acedemy background is manufactring engineering. I never learnt about the Machine Learning before.