Applied ai Course

What will I learn?
Unlock the potential of AI in business intelligence with our Applied AI Course. Dive into data collection techniques, ensuring privacy and ethical standards, and explore key data sources. Master AI model selection, from decision trees to neural networks, for accurate forecasting. Enhance your skills in model evaluation, training, and optimization, while learning to handle missing data and create impactful visualizations. Elevate your career with practical, high-quality insights tailored for BI professionals. (ኣብ ቢዝነስ ኢንተለጀንስ ዓቕሚ AI ብዛዕባ ዝምልከት ብትኽክል ንምልላይ ኣብዚ ናይ AI ኮርስና ክትሳተፉ ብትሕትና ንዕድመኩም። ናይ ዳታ ምእካብ ስልትታት፣ ውልቃዊ ድሕንነት፣ ስነ-ምግባር ዝሓዘን መስፈርታት ብምርግጋፅ ከምኡ ድማ ቀንዲ ምንጪታት ዳታ ብምፅናዕ AI ምምራፅ ሞዴል ካብ ናይ ውሳኔ ኦም (Decision Tree) ጀሚርካ ክሳብ ኒውራል ኔትወርክ (Neural Networks) ን ትክክለኛ ትንበያ ክትፈልጡ ከተምዕብልዩ። ክእለትካ ብምምዛን ሞዴል ብምልማድን ብምምዕርራይን ከምኡ እውን እንታይ ከም ዝተረፈካ ብምፍላጥ መሃሪ ዝኾነ ስእላዊ መግለፂታት ብምትዕያይ ከተመሓይሽ ትኽእል ኢኻ። ንስራሕ መሃሪ ዝኾነ ጥዑም ርኢቶ ብምስንዳእ ንሞያኻ ብብቕዓት ክትመርሖ ብትሕትና ንዕድመኩም።)
Elevify advantages
Develop skills
- Master data privacy: Ensure ethical data collection and usage. (ምስጢራዊነት ዳታ ምሕላው፤ ስነ-ምግባር ዝሓዘን ኣገባብ ምእካብን አጠቓቕማን ዳታ ምርግጋፅ።)
- Select AI models: Choose optimal models for accurate forecasting. (ኣማራፂ ሞዴል AI ምምራፅ፤ ን ትክክለኛ ትንበያ ዝሕግዙ ብሉፃት ሞዴላት ምምራፅ።)
- Evaluate models: Use metrics like MAE and RMSE for model assessment. (ሞዴል ምግምጋም፤ ልክዕነት ሞዴል ንምግምጋም ከም MAE ከምኡ እውን RMSE ዝኣመሰሉ መለኪታት ምጥቃም።)
- Optimize models: Fine-tune hyperparameters to enhance performance. (ሞዴል ምምዕርራይ፤ ንውፅኢት ንምምሕያሽ ሃይፐርፓራሜትሪስ (Hyperparameters) ምምዕርራይ።)
- Visualize data: Create impactful visualizations for clear insights. (ስእላዊ መግለፂ ዳታ፤ ንጹር መረዳእታ ንምርካብ መሃሪ ስእላዊ መግለፂታት ምፍጣር።)
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