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المقياس: Apprentissage automatique II

1. معلومات
2. الأسئلة
3. التعليم عن بعد

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 0 votes Given the following data for employees, Find the most suited employee to replace Ahmed considering all features                     Age   Experience    Weight (grams)Ahmed          34         6                89,000Ali                 33          5                60,000Tarek             50          2                90,000 نشر على 19:37, الخميس 31 أكتوبر 2019 By Imed BOUCHRIKA In Apprentissage automatique II

أجوبة (8)

جواب (1)

 1 votes Firstly we should normalize the data  using this formula normalized_value = (current_value - min_value) / (max_value - max_value) So the data will be:  Age          Experience         Weight(Grams) Ahmed       0.05              1                         0.96 Ali                0               0.75                        0 Tarek            1                  0                          1   Now we calculate the euclidean distance between (Ahmed,Ali) and (Ahmed,Tarek): D(Ahmed,Ali) = 0.993 D(Ahmed,Tarek) = 1.37   So the most suited employee to replace Ahmed is Ali نشر على 23:30, الخميس 31 أكتوبر 2019 by abdennour redjaibia (282 points) In Apprentissage automatique II

جواب (1)

 0 votes il is Ali نشر على 23:24, الخميس 31 أكتوبر 2019 by Ouahiba HANDEL In Apprentissage automatique II

جواب (2)

 -1 votes 1- Normalize the data,Apply the following formula : Xnew =(x - Xmin ) / (Xmax - Xmin ).   So, the data will be as follows:                      Age       Experience      Weight (grams)Ahmed           0.05            1                   0.96Ali                   0             0.75                   0Tarek               1               0                     1 2-  calculate the Euclidean distance between employees: D(Ahmed , Ali)= √ ((0.05 − 0 )2 + (1 − 0.75 )2+(0.96 − 0 )2 )= 0.99D(Ahmed , Tarek)=√ ((0.05 − 1 )2 + (1 − 0 )2+(0.96 − 1 )2) = 1.37 So,the most suited employee to replace Ahmed is ALI. نشر على 20:56, الجمعة 1 نوفمبر 2019 by Mouhamed Salah Benkhalfallah (14 points) In Apprentissage automatique II

جواب (3)

 0 votes Normalize the data :                 Age   Experience    Weight (grams)Ahmed      0.05           1                     0.96Ali                 0          0.75                    0Tarek             1          0                        1 Calculate the Euclidean distance between:          - (Ahmed,Ali)=> D(Ahmed,Ali)=√((0.05 - 0)^2 + (1 - 0.75)^2 + (0.96 - 0)^2)=0.99            &          - (Ahmed,Tarek)=>D(Ahmed,Tarek)=√((0.05 - 1)^2 + (1 - 0)^2 + (0.96 - 1)^2)=1.37   => Therefore, the most suited employee to replace Ahmed is : ALI . نشر على 21:44, السبت 2 نوفمبر 2019 by Fateh Benkhalfallah (6 points) In Apprentissage automatique II

جواب (4)

 0 votes *normalize the data: X =(x - Xmin ) / (Xmax - Xmin ) exp:(34-33)/(50-33)=1/17=0.05                 age       expiri      weight(g) ahmed      0.05         1           0.96 ali                0          0.75         0 tarek            1          0              1 *Calculate the Euclidean distance between employes:  D(Ahmed,Ali)=√((0.05 - 0)^2 + (1 - 0.75)^2 + (0.96 - 0)^2)=0.99  D(Ahmed,Tarek)=1.37 //The most suited employee to replace Ahmed is: ali نشر على 19:05, الأربعاء 6 نوفمبر 2019 by nesrine boutarfa (28 points) In Apprentissage automatique II

جواب (5)

 0 votes calculate the eclidean distance between(ahmed,ali)=0.99 and(ahmed,tarek)=1.37 the most suited employee to replace ahmed is: Ali نشر على 15:42, الجمعة 15 نوفمبر 2019 by belkis maarfia (25 points) In Apprentissage automatique II

جواب (6)

 0 votes Age          Experience         Weight(Grams) Ahmed       0.05              1                         0.96 Ali                0               0.75                        0 Tarek            1                  0                          1 distance between ahmed and ali : "normalized_value = (current_value - min_value) / (max_value - max_value)" distance eucludienne :0.995 distance between ahmed and tarek : 1.372 نشر على 19:40, الاثنين 16 ديسمبر 2019 by noussaiba ledjemel (23 points) In Apprentissage automatique II

جواب (7)

 0 votes Age          Experience         Weight(Grams) Ahmed       0.05              1                         0.96 Ali                0               0.75                        0 Tarek            1                  0                          1 distance between ahmed and ali : "normalized_value = (current_value - min_value) / (max_value - max_value)" distance eucludienne :0.995 distance between ahmed and tarek : 1.372 نشر على 19:40, الاثنين 16 ديسمبر 2019 by noussaiba ledjemel (23 points) In Apprentissage automatique II

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