Applied ai Machine Learning Course
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።
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
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
Workload: between 4 and 360 hours
Before starting, you can change chapters and workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.