Supervised Learning: Crash Course AI #2
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Date: 2022-04-04
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Comments and reviews: 10
bill
0: 22 again a big issue, in fact if humans aren-t born with many skills humans would be distinguished long time ago. In facts humans are born with so many amazing skills but skills aren-t designed for sort mail, land airplanes and driving vehicle but for find and class what kind of stuff is good food for heath and what-s bad toxic can-t be eat must avoid (these skills also can be used for sort mail by learning, how to make weapon for foraging and use it for forage elephant with partners together (these skills also can be used for engine design and drive car or plane by leaning. About conversation friendly that-s literally so many things are from human-s instinct, the social instinct (of course and human knows how to conversation madly for challenging to competitors.
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0: 22 again a big issue, in fact if humans aren-t born with many skills humans would be distinguished long time ago. In facts humans are born with so many amazing skills but skills aren-t designed for sort mail, land airplanes and driving vehicle but for find and class what kind of stuff is good food for heath and what-s bad toxic can-t be eat must avoid (these skills also can be used for sort mail by learning, how to make weapon for foraging and use it for forage elephant with partners together (these skills also can be used for engine design and drive car or plane by leaning. About conversation friendly that-s literally so many things are from human-s instinct, the social instinct (of course and human knows how to conversation madly for challenging to competitors.
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bill
At 2: 53 this description to neuron-s working mechanism is simple as too simple as easy to mistake students to understand. Reality the working mechanism of neuron has been designed more much complex than you think (because of natural selection.
3: 10 neuron talking to each other by passing neurotransmitter (and the electrical signal is not the only way the neuron talking to another neuron)
And the neuron isn-t using electric action potential directly to another neuron (this animation will makes you think wrong easy) the electric signal will makes the neurotransmitter transmit to another neuron and it will not save the energy if the previous one sends the neurotransmitter it doesn-t recognize.
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At 2: 53 this description to neuron-s working mechanism is simple as too simple as easy to mistake students to understand. Reality the working mechanism of neuron has been designed more much complex than you think (because of natural selection.
3: 10 neuron talking to each other by passing neurotransmitter (and the electrical signal is not the only way the neuron talking to another neuron)
And the neuron isn-t using electric action potential directly to another neuron (this animation will makes you think wrong easy) the electric signal will makes the neurotransmitter transmit to another neuron and it will not save the energy if the previous one sends the neurotransmitter it doesn-t recognize.
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Whomping
Precision = likelihood of it being a positive, given that the model told you it was a positive.
Recall = likelihood of it being negative, given that the model told you it was a negative.
. right? The explanation kinda confused me.
Where neither alone is a perfect measure, & it's best to factor both into how you measure your model's usefulness. Depending on what you're measuring, it can be a lot more tolerable for one to be bad than the other.
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Precision = likelihood of it being a positive, given that the model told you it was a positive.
Recall = likelihood of it being negative, given that the model told you it was a negative.
. right? The explanation kinda confused me.
Where neither alone is a perfect measure, & it's best to factor both into how you measure your model's usefulness. Depending on what you're measuring, it can be a lot more tolerable for one to be bad than the other.
reply
ChillsAhoy
This type of learning is slightly reminiscent of evolution by natural selection: if your -function for life- is fine, then you survive and all is well. If your -function for life- is not successful, then that particular combination of genes/programs dies out and can be replaced by a slightly different set of genes from another, perhaps more successful, individual. Not a perfect comparison but there is beauty in the system nonetheless.
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This type of learning is slightly reminiscent of evolution by natural selection: if your -function for life- is fine, then you survive and all is well. If your -function for life- is not successful, then that particular combination of genes/programs dies out and can be replaced by a slightly different set of genes from another, perhaps more successful, individual. Not a perfect comparison but there is beauty in the system nonetheless.
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bill
A important mistake at 5: 31 the electric action potential between neurons are all the same size, yes it is, but also real neuron has the different connection weights to other neurons, so real neuron can do the different size of signal too.
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A important mistake at 5: 31 the electric action potential between neurons are all the same size, yes it is, but also real neuron has the different connection weights to other neurons, so real neuron can do the different size of signal too.
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Erick
Guys I just want to say thankyou in name of HUMANITY! Your job is so important, and trust me im a communicator myself, I will spread this, and work for the utter common knowledge. Thanks, for real, THANKS.
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Guys I just want to say thankyou in name of HUMANITY! Your job is so important, and trust me im a communicator myself, I will spread this, and work for the utter common knowledge. Thanks, for real, THANKS.
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Duel
look give me a bagel with strawberry Philadelphia cream cheese any day over a doughnut! I stopped watching because you
were disrespectful to bagels!
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look give me a bagel with strawberry Philadelphia cream cheese any day over a doughnut! I stopped watching because you
were disrespectful to bagels!
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bill
This learning mechanism is one way to design a procedure If Define Design as to select the iteration changing with more successful of adapting goal.
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This learning mechanism is one way to design a procedure If Define Design as to select the iteration changing with more successful of adapting goal.
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Maximum
-I don't wanna bite into a donut and it turns out it's a bagel. -, better than biting into a choc chip cookie and finding out they're raisins.
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-I don't wanna bite into a donut and it turns out it's a bagel. -, better than biting into a choc chip cookie and finding out they're raisins.
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Deniz
why are you trying to teach graduate level subjects to kids that think scratch is a programming language. crawl before you sprint.
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why are you trying to teach graduate level subjects to kids that think scratch is a programming language. crawl before you sprint.
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