دورة أساسيات الذكاء الاصطناعي

المصدر: Learn with Muhammed Essa

• 8 Ethics & data bias مقفل 34 د
• 7 Artificial Neural Networks ANN & Generative Adversarial Networks GANs مقفل 28 د
• 6 Underfitting and Overfitting in Machine Learning مقفل 27 د
• 5 metrics, Accuracy, precision, recall, F1 Score, ROC, AUC ,MSE, RMSE, MAE, R2 Score مقفل 25 د
• 4 الذكاء الاصطناعي: الانحدار اللوجستي ومتعدد الحدود مقفل 4 د
• 3 Methodologies Regression, Classification مقفل 28 د
• 2 Supervised, Unsupervised, Semi, Reinforcement Machine Learning مقفل 30 د
• 1 الذكاء الاصطناعي مقفل 28 د