Features and Labels Musical ExampleYouTube↗  IA↗(long shot)
Education  69.5K views 98 likes 8 dislikes   23 Feb 2015
Udacity 651K subscribers United States YouTube↗


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So now we will talk about features and labels.
نتحدث الآن عن الميزات والتسميات.
And I'm going to be using Katie, as an example.
وسوف استخدم كايتي كمثال.
See as my artistic rendering of Katie.
أترون معالجتي الفنية لكايتي؟
And Katie loves listening to songs.
تحب كايتي الاستماع إلى الأغاني.
And I know it's cliche but one of her favorite song, is called Let It Go.
أعرف أن ذلك سيبدو مبتذلاً ولكن أغنيتها المفضلة تسمى "Let It Go".
She really sings it all day long.
هي حقًا تغنيها طوال اليوم.
>> Can't hold it back anymore.
>> Can't hold it back anymore.
>> [LAUGH] Okay.
>> [LAUGH] حسنًا.
All right so it's not about singing lessons it's really about machine learning.
حسنًا، هذا لا يتعلق بدروس الغناء بل بالتعلم الآلي.
So in machine learning we often take as input features and
إذن في التعلم الآلي نأخذ ميزات الإدخال ونحاول
we try to produce labels.
استخراج المسميات.
So let me explain what this is.
دعوني أشرح لكم ذلك.
[MUSIC]
[MUSIC]
Okay so we take this music and we don't input the raw music into her ears.
حسنا، نحن إذن نأخذ هذه الموسيقى ولكننا لا نقوم بإدخال الموسيقى الخام إلى أذنيها.
Katie for a sec please.
كايتي توقفي للحظة أرجوكِ.
Okay.
حسنًا.
Instead we extract what's called features.
بل نستخرج منها ما يسمى بالميزات.
These might be things such as intensity, or the tempo of the song, or
قد تكون هذه الميزات أمورًا مثل شدة الأغنية أو إيقاعها، أو
things like genre, or perhaps the gender of the voice.
نوعها أو جنس المغني.
And then Katie's brain processes it into one of two categories,
ثم يقوم دماغ كايتي بمعالجتها وتصنيفها في فئة من اثنتين،
there is like and don't like.
"تعجبني" أو "لا تعجبني".
Obviously an oversimplification of Katie's brain, but
وكما هو واضح، فإن ذلك يعد تبسيطًا زائدًا لدماغ كايتي، ولكن
for the time being, let's assume that's what's happening
في الوقت الحالي، سنفترض أن ذلك هو ما يحدث.
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