The 7 steps of machine learning
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- čas přidán 11. 07. 2024
- How can we tell if a drink is beer or wine? Machine learning, of course! In this episode of Cloud AI Adventures, Yufeng walks through the 7 steps involved in applied machine learning.
The 7 Steps of Machine Learning article: goo.gl/XEo6i2
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is this a scam ?
Is Google a scam? No!
@@dazail5474 No, but it's misleading. You don't get $300. You get a free trial of some features.
I like indices!!!
1:49 | Gathering Data
2:21 | Preparing Data
4:03 | Model Selection
4:30 | Training
6:46 | Evaluation
7:24 | Parameter Tuning
8:55 | Prediction
you have skill man
Thank you
I’d love to hang out some time
awesome
9:49
I love how he explained the steps of Machine Learning in simplified plain english. thank you very much!!
I'm amazed how a complex topic could be explained seamlessly!. Great video.
its not complex, checkout Andrew Ng - AI For Everyone course
What an amazing depiction of ML steps. Very very nicely put! Thank you so much Yufeng !!
Finally!! I found a place to start my ML journey!! Looking forward to the future videos👍🏻
I have watched many videos now, and this was the best for AI beginners IMO. Thank you!
Thank you, I am new to the IT industry and I found your explanation very easy to digest especially from a lay person's pov
this video is so simple yet so informative. good job Yufeng and google!
It is great lecture and explains the topic very clearly and simply.i will follow all the videos because comparing to other programs and books this the most clear videos I’ve seen so far
Great stuff! Really looking forward to more of your videos.
You've done a great job here with the explanation of the processes of building a ML model. So clear, easy to understand and quite helpful to even someone without prior knowledge of ML. 👏
Very informative video. Thanks for explaining a fairly complicated subject in a simple explanation that makes sense
By far the best starter video I've seen - and I've seen quite a few!
Great way of explaining such a sophisticated topic! Good job!
Simple and clear explanation on machine learning process, thanks yufeng!
This video is so fantastic!!! I love the simplicity of the explaination to the complex content. Great!
Bah I never even finished the first step when I tried to replicate this. I got back from the store with the beer and wine and everything just went downhill from there.
I managed to gather up an impressive amount of data before I threw up all over it.
Data ingestion one'd say
you are a master!😂
Creating quality data is tough! New Software like Diffgram can help! diffgram.readme.io/docs/video-introduction
Or uphill 😏
you are an amazing teacher yufeng!! thank you vey much!! very clear! it was a real pleasure to listen to you!!
This is the best video that ever explain to me how and why there are training and testing datasets. Great Great Job!!!
Awsm explanation YufengG...thanks for this video..
Very clearly explained! Thank you so much Mr. Guo!
Having just studied machine learning and coding for it, this is a great, simple and logical explanation in common conversation. Well done!
Hii., Can you please guide me for ML learning... I am a core engineer and changed my career in Data analytics recently and wanna learn this
@@guruprasath765 checkout Andrew Ng
@@RR-et6zp Thanks.. I will check it out 👍🏽
Great vid! Love this series.
this is good start... thankyou very much... m new to ML... its actually gonna help me in my project
This is great, so clear and precise! Keep uploading please
Extremely brilliant. Thank you google and yu Feng for the awesome stuff
Excellent presentation...he got me when he said, "...don't worry, you can't break the site." Game on!!
AWESOMELY well explained !!!
Another great video. Clear and effective communication.
Awesome presentation! Clean, short and sweet.
Really cool all the explanation! Really love this series! XD
Perfectly explained. Thank you very much
Very good explanation and elaboration. I like this kind of demo where there is a direct elaboration of the topics unlike other video tutorial difficult to understand beside of the accent of language.
Thaaank you for the clear explanation. The only video series that i can follow as a beginner
Great overview, Yufeng!
As ever from you guys - wonderful. Thank you.
Great explanation!
Great way to explain the important steps for ML.
You are a truly subject’s expert and teacher. Born to transfer knowledge and to explain. Chapeau 👏🎓
Very well done video, well ordered and well explained. Thank you!
This is a very underrated video. keep up the good work!!
Amazing and well explained the complex subject in a simple way for those who are new Beebe.
Thank you for sharing
Very nicely described. Thanks.
Great presentation, loved it.
This is simple and straightforward. Thanks
I find this video very appealing. Explaining concept with examples is really good.
Great info, thank you for sharing!
Yufeng, thanks so much - interesting, fun, and funny :)
This is great! Keeps the videos coming please
The quality and quantity of data you collect shows how good your model can be. 👌
Great content, easy to follow. Many Thanks
This is the most clearly entry point for Learning Machine I ever seen..
:O good video ! It has been a great summary for only ten minutes.
Thanks, I will share it with those friends that ask for how neural networks works without technical details
Excellent overview and great example.
Thank u for such a nice video, it clear my basic concept.
Great video, thanks!
Thank you for this amazing video really appreciated
Simply, the best !
Great videos. Look forward to more.
Very nice presentation
Great video, thank you
Great video which someone like me who has no machine learning background can understand very clearly. Hats off!
Awesome dude
This was dope. GJ.
Great video Google, clear and easy to understand.
Good work... willing to learn more
Brilliantly explained
Useful tips.
Very good video. Gave me good introduction and understanding of Machine Learning.
For this use case Chemometrics approach is best I think. Would be nice to relate images, spectral signatures and have that for training, test and validation dataset. This would mean of course working not just tabulated data but the fusion of images, spectral data and lab measurement data
well done! cheers
Very insightful, thanks
Great presentation , can we get a presentation about neural network in future ,Many Thanks.
Good resource!!! thank you
So fluent ! Thank you :)
wow!!!great explaination....
That was very clear thank you
Excellent!
I am using this same learning technique to learn about machine learning, by watching many videos about it then seeing what I can understand about similar ideas talked about by different people
Thank you, Yufeng Guo!
Excellent presentation and pronunciation!
whoa great explanation, i want a full course from you !!!
dude ?..
good luck in your journey mate, ignore people like SUNDAR B, you can see his profile pic, he would prefer gobar over AI
Well defined and in a nutshell
7 ingredients to ML. Thanks.
A very good video, i understood easily .. thank you brother
Very well explained
So clearly explained. Cheers!
You're welcome!
Awesome video!
Giving me, a maching learning beginer, a great simple start. Thanks.
Hey how good are you now?
Great explanatory.
Awesome video
Thank you so much ! you really helped me a lot understand the whole process
Yup.. will be really easy for us to buy alcohol, right? I have been selecting my wines and beers through this process.. really helps!
@@chilarmah lmao
Good one!
Useful. Thank you!
Wow input model and output . If output is acceptable then fine if not feedback to obtain right answer. Explained nicely...great to visit this channel .
Good teacher and good illustration with pictorials-especially with the equation.
Glad it was helpful!
Thank you great video
Great video! :)
Well explained....👍
cool topics!