How can we inform if a drink is beer or wine? Machine studying, after all! On this episode of Cloud AI Adventures, Yufeng walks …
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Tags: aiAi adventuresartificial intelligenceartificial intelligence newsartificial intelligence news 2023Big Databig data processingCloudcloud datacloud platformcloud servicesData Preprocessingdevopsfullname: Yufeng GuoGDS: Yes;google cloudgoogle cloud platformgoogle cloud serviceslatest news about robotics technologylatest robotslatest robots 2023learningLocation: MTVMachinemachine learningMLOther: NoGreenScreenPredictionproduct: cloudrobot newsrobotics newsrobotics news 2023robotics technologies llcrobotics technologystepsTeam: Scalable AdvocacyTensorFlowType: DevByte
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Use always your since
So what I struggled with in practice was getting evaluation data. I initially split my data set, but after 2 or 3 training cycles I had no evaluation data left and still thought my parameters could use some better tuning.
What do I do in such a case? I feel like I just done goofed, have to wait for more data to come in (time constraints= not an option) or take what I got for my predictions. As soon as I'm love with predictions I also don't get more data,that I could later use to further tune.
The quality and quantity of data you collect shows how good your model can be. 👌
The y axis in the red orange plot shows the percentage of accuracy of the prediciton for variable y.
Thumbs up here~!
😊😊😊😊😊😊😊😊🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸
very good teacher
这个人的眼镜看着老反光
Great video. really very helpful for the people wanna jump into ML
there will be skewed data when testing similar colored wines and beers. especially when testing winebeer and beerwine with respect to data prep.
I just wonder if a good metric wouldn't be the shape of the container the liquid is in.
you are an amazing teacher yufeng!! thank you vey much!! very clear! it was a real pleasure to listen to you!!
You do not say which one is which. So if the model predicted an alcohol content of 15% and a wavelength of 500nm, is that beer or is that wine? Did you just describe a classification or a prediction problem?
Very well done video, well ordered and well explained. Thank you!
Great video, thank you
‘Don’t worry, you can’t break the site’! How sweet is that?! 😅
Very informative, thank you 😊
Great video which someone like me who has no machine learning background can understand very clearly. Hats off!
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. 👏
You are a truly subject’s expert and teacher. Born to transfer knowledge and to explain. Chapeau 👏🎓
cool
Do you prefer MacBook or windows for ML?
This video is so fantastic!!! I love the simplicity of the explaination to the complex content. Great!
can i get certificate from this