نصائح وخطوات لتطبيق تعلم الآلة من محاضرة "مدخل إلى تعلم الآلة"

1. ‫اﻵﻟ‬ ‫ﺗﻌﻠﻢ‬ ‫ﻟﺘﻄﺒﯿﻖ‬ ‫ﻧﺼﺎﺋﺢ‬‫ﺔ‬
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2. ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠﻢ‬ ‫ﻟﺘﻄﺒﯿﻖ‬ ‫ﻧﺼﺎﺋﺢ‬
•ً‫ا‬‫ﺟﯾد‬ ‫ﺣﻠﮭﺎ‬ ‫ﺑﺻدد‬ ‫أﻧت‬ ‫اﻟﺗﻲ‬ ‫اﻟﻣﺷﻛﻠﺔ‬ ‫اﻓﮭم‬
•‫اﻟﻣﺷﻛﻠﺔ؟‬ ‫ھﻲ‬ ‫ﻣﺎ‬
•‫ﺑﺎﻟﺿﺑط؟‬ ‫ﺣﻠﮫ‬ ‫اﻟﻣطﻠوب‬ ‫ﻣﺎ‬
•‫ﺑﺎﻟﻣﺟﺎل؟‬ ‫ﻣﺗﻌﻠﻘﺔ‬ ‫أﻣور‬ ‫ﺗﺗﻌﻠم‬ ‫أن‬ ‫ﺗﺣﺗﺎج‬ ‫ھل‬)،‫ﺗﺳوﯾﻖ‬ ،‫طﺑﻲ‬(...
•ً‫ا‬‫ﺟﯾد‬ ‫اﻟﻣﺗﺎﺣﺔ‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫اﻓﮭم‬
•‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﺣﺟم‬
•‫اﻟوﺻﻔﯾﺔ‬ ‫اﻹﺣﺻﺎءات‬ ‫ﺑﻌض‬ ‫إﺟراء‬)descriptive statistics(‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻋﻠﻰ‬
•‫ﻣﻌﮭﺎ؟‬ ‫ﺗﺗﻌﺎﻣل‬ ‫ﻛﯾف‬ ‫ﻧﺎﻗﺻﺔ؟‬ ‫أﺟزاء‬ ‫ﺗوﺟد‬ ‫ھل‬

3. ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠﻢ‬ ‫ﻟﺘﻄﺒﯿﻖ‬ ‫ﻧﺼﺎﺋﺢ‬
•‫واﻟﺑﯾ‬ ‫اﻟﻣﺷﻛﻠﺔ‬ ‫وﺻف‬ ‫ﻋﻠﻰ‬ ً‫ء‬‫ﺑﻧﺎ‬ ‫ﻻﺧﺗﺑﺎرھﺎ‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ة‬ّ‫د‬‫ﻋ‬ ‫ﺣدد‬‫ﺎﻧﺎت‬
‫اﻟﻣﺗﺎﺣﺔ‬
•Regression? Classification? Clustering? Other?
•‫ﺗﺣﺗﺎج‬ ‫ھل‬regularization‫؟‬
•‫اﻟﻣﻣﯾزة‬ ‫اﻟﺧﺻﺎﺋص‬features
•‫ﺗﺳﺗﺧﻠﺻﮭﺎ؟‬ ‫أن‬ ‫ﺗﺣﺗﺎج‬ ‫أم‬ ،‫ﺟﺎھزة‬ ‫ھﻲ‬ ‫ھل‬)‫ﻧﺻوص‬ ‫أو‬ ‫ﺻورة‬ ‫ﻣن‬ ً‫ﻼ‬‫ﻣﺛ‬(
•‫ﻟﺗﻘﻠﯾﻠﮭﺎ؟‬ ‫ﺗﺣﺗﺎج‬ ‫ھل‬)feature selection or projection(
•‫إﻟﻰ‬ ‫ﺗﺣﺗﺎج‬ ‫ھل‬scaling‫؟‬

4. ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠﻢ‬ ‫ﻟﺘﻄﺒﯿﻖ‬ ‫ﻧﺼﺎﺋﺢ‬
•‫اﻻﺧﺗﺑﺎر‬ ‫ﺻﻣم‬
•‫اﻟﺑﯾﺎﻧﺎت؟‬ ‫ﺗﻘﺳم‬ ‫ﻛﯾف‬)60% training, 20% validation, 20% testing(
•Evaluation Measures
•Hyper-parameters selection (using validation split)
•Plot learning curves to asses bias and variance
•‫ﺗﻔﻌل؟‬ ‫ﻣﺎذا‬
•‫اﻟﺑﯾﺎﻧﺎت؟‬ ‫ﻣن‬ ‫اﻟﻣزﯾد‬
•‫ﻣزﺟﮭﺎ؟‬ ‫أو‬ ‫زﯾﺎدﺗﮭﺎ‬ ‫أو‬ ‫اﻟﺧﺻﺎﺋص‬ ‫ﺗﻘﻠﯾل‬
•‫اﻻﺧﺗﺑﺎر‬ ‫ﺑﯾﺎﻧﺎت‬ ‫ﻋﻠﻰ‬ ‫اﺧﺗرﺗﮭﺎ‬ ‫اﻟﺗﻲ‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫طﺑﻖ‬ ،‫ھذا‬ ‫ﻛل‬ ‫ﻣن‬ ‫ﺗﻧﺗﮭﻲ‬ ‫أن‬ ‫ﺑﻌد‬testing
split‫اﻷﻧﺳب‬ ‫أﻧﮫ‬ ‫ﺗﻌﺗﻘد‬ ‫ﻣﺎ‬ ‫ﻣﻧﮭﺎ‬ ‫واﺧﺗر‬ ،