Azure AI Fundamentals Certification (AI-900) - Full Course to PASS the Exam
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Date: 2022-03-14
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Comments and reviews: 10
Yashasvi
I have a doubt at 43:10. Some might think that I should not focus on such low aspects but AI Principles are highly important. You said that AI should incorporate or reinforce existing Societal Stereotypes. Now here's what I understood from it that AI systems should not be generalized rather they should be community specific. It can be assumed as the AI system should contain multiple subsections each focussing on one certain community and they all together will form a fair system which treats every person equally. For instance assume Person A belongs to Community A and Person B belongs to community B, so when they will be using our AI system, it should feel like a system which specializes in the ethics of their community beliefs and it is completely agreeing with whatever the person is saying or doing. In other words when Person A is using our AI, he/she should have the feeling that AI is believing in whatever the person is doing and similarly when person B is using it should resemble them the same. AI should not counter any one's argument even though Community A has a completely opposite thinking as Community B. Please correct me if I am wrong.
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I have a doubt at 43:10. Some might think that I should not focus on such low aspects but AI Principles are highly important. You said that AI should incorporate or reinforce existing Societal Stereotypes. Now here's what I understood from it that AI systems should not be generalized rather they should be community specific. It can be assumed as the AI system should contain multiple subsections each focussing on one certain community and they all together will form a fair system which treats every person equally. For instance assume Person A belongs to Community A and Person B belongs to community B, so when they will be using our AI system, it should feel like a system which specializes in the ethics of their community beliefs and it is completely agreeing with whatever the person is saying or doing. In other words when Person A is using our AI, he/she should have the feeling that AI is believing in whatever the person is doing and similarly when person B is using it should resemble them the same. AI should not counter any one's argument even though Community A has a completely opposite thinking as Community B. Please correct me if I am wrong.
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itech
There is a small error in the confusion matrix. If the Predicted and Actual are both NO, this is called a True Negative (the model predicted it correctly!).
When the model predicted is NO, but the actual is YES, then it is a false negative (the model was wrong).
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There is a small error in the confusion matrix. If the Predicted and Actual are both NO, this is called a True Negative (the model predicted it correctly!).
When the model predicted is NO, but the actual is YES, then it is a false negative (the model was wrong).
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Zulfan
Just passed the exam 10 mins ago, please ensure you watch this and memorize key points and familiar yourself with the MS learning as most of the questions will come from there , good luck everyone
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Just passed the exam 10 mins ago, please ensure you watch this and memorize key points and familiar yourself with the MS learning as most of the questions will come from there , good luck everyone
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Lewis
Your confusion matrix is wrong. Predicting a negative label for a negative example is a TRUE NEGATIVE, not a FALSE NEGATIVE. A FALSE NEGATIVE would be a negative prediction for a positive example.
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Your confusion matrix is wrong. Predicting a negative label for a negative example is a TRUE NEGATIVE, not a FALSE NEGATIVE. A FALSE NEGATIVE would be a negative prediction for a positive example.
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Anurag
For those who are taking up the exam- go through the learning path Microsoft has and revise the concepts with this video. That should suffice for a 900+ score. Good luck!
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For those who are taking up the exam- go through the learning path Microsoft has and revise the concepts with this video. That should suffice for a 900+ score. Good luck!
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Michael
Thank you for explaining the fundamentals so well will definitely purchase your training courses as I am looking to gain a few Microsoft certs in the coming months.
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Thank you for explaining the fundamentals so well will definitely purchase your training courses as I am looking to gain a few Microsoft certs in the coming months.
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Vikash
Thanks for the great explanation. Just observed there is a typo, could you check this?
at timeline 19:35 the Unsupervised Learning should be quoted as UL, not SL.
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Thanks for the great explanation. Just observed there is a typo, could you check this?
at timeline 19:35 the Unsupervised Learning should be quoted as UL, not SL.
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Mrudula
Thankyou for this amazing course
Today I passed my AI-900 exam with 910/1000 marks with the help of this video
Definitely gonna recommend to my friends :)
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Thankyou for this amazing course
Today I passed my AI-900 exam with 910/1000 marks with the help of this video
Definitely gonna recommend to my friends :)
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JustSpiderbro
Passed just now with 940 after watching this video, following the learning paths and doing a couple of practice exams. Thank you Andrew!
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Passed just now with 940 after watching this video, following the learning paths and doing a couple of practice exams. Thank you Andrew!
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Michael
Thanks , I passed the AI-900 with an 880 . Your video was useful, more info than the test but better to over than under with information.
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Thanks , I passed the AI-900 with an 880 . Your video was useful, more info than the test but better to over than under with information.
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