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Applied ai Machine Learning Course

Applied ai Machine Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

በተግባራዊ AI መሽን ለርኒንግ ኮርስ ኣቢልካ ኣብ ቢዝነስ ኢንተለጀንስ ናይ AI ሓይልኻ ክፈት። ነቶም ሞያተኛታት ተባሂሉ ዝተዳለወ ኮርስ ፡ ንግዜ ተኮር ዝኾነ (Time Series) ዳታ ንምእካብ፡ ንምድላው፡ ከምኡውን ፍሉይ መለለዪ ንምስራሕ ዝሕግዙ ጽፉፋት ሞጁላት ዝሓዘ እዩ። ከም ኣሪማን ኤል.ኤስ.ቲ.ኤምን (ARIMA and LSTM) ዝኣመሰሉ መሽን ለርኒንግ ሞዴላት ተማሃር፡ ከምኡውን ልክዕ ትንበያ ንምሃብ ከመይ ገርካ ገምጋምን ምምሕያሽን ከም እትገብር ፍለጥ። ውጽኢትካ ብንጹር ከመይ ገርካ ትትርጉምን ኣብ ዳታ እተመርኮሰ ምኽሪ ከመይ ገርካ ትህብን ክእለትካ ኣመሓይሽ፡ ኹሉ ግዜ እናመዝገብካን ሪፖርት እናሃብካን። ሎሚ ብተግባራዊ፡ ተፈጻሚ ብዝኾነ ኣስተምህሮ ስራሕካ ኣዕቢ።

Elevify advantages

Develop skills

  • ፍሉይ መለለዪ ምስራሕ ተቆጻጸር (Master feature engineering): ንትንተና ዝጠቅሙ ግዜ መሰረት ዝገበሩ መለለዪታት ፍጠር።
  • ዳታ ምእካብ ኣመሓይሽ (Optimize data collection): ኣገዳሲ ምንጪታት ዳታ ብትኽክል ለይ።
  • ዳታ ምድላው ኣመሓይሽ (Enhance data preparation): ዳታ ንጽር፡ ኣመጣጥኖ፡ ከምኡውን ንልክዕነት መጠን ኣመጣጠኖ።
  • ትንበያ ሞዴላት ተግብር (Implement forecasting models): ኣሪማን ኤል.ኤስ.ቲ.ኤምን (ARIMA and LSTM) ንልክዕ ትንበያ ተጠቐመሎም።
  • ኣስተምህሮ ኣመሓላልፍ (Communicate insights): ኣብ ዳታ ዝተመርኮሰ ናይ ቢዝነስ ምኽሪ ስኣል።

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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