Udemy Practical Machine Learning for Data Scientists ARABIC BOOKWARE-BOOKTIME

Files Included :

1 Introduction.mp4 (44.43 MB)
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2 What is AI.mp4 (226.82 MB)
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3 Working in an AI team.mp4 (174.52 MB)
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4 AI and Society.mp4 (127.03 MB)
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5 How AI works.mp4 (769.51 MB)
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10 Learning problems types and design patterns.mp4 (89.69 MB)
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11 Losses and output layers types.mp4 (321.02 MB)
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12 Scikit-learn library overview (Optional).mp4 (45.35 MB)
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13 Introduction to Optimizers.mp4 (74.62 MB)
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14 Linear Regression and Normal equation.mp4 (93.97 MB)
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17 Gradient Descent hyperparameters.mp4 (159.56 MB)
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18 Batch size hyperparameter.mp4 (81.31 MB)
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19 Logistic Regression.mp4 (41.1 MB)
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20 Support Vector Machines (SVM).mp4 (152.41 MB)
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21 Non-linear models.mp4 (100.12 MB)
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22 Deep Neural Networks (DNN).mp4 (142.9 MB)
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23 Overfitting and underfitting.mp4 (122.49 MB)
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24 Regularization.mp4 (72.74 MB)
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25 Summary.mp4 (12.98 MB)
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6 Module roadmap.mp4 (18.81 MB)
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7 AI models anatomy.mp4 (128.34 MB)
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8 Supervised Learning ingredients.mp4 (78.76 MB)
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9 Example Keras program.mp4 (201.23 MB)
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26 Module roadmap.mp4 (13.89 MB)
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29 Losses and Metrics.mp4 (78.4 MB)
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36 Resampling methods.mp4 (158.67 MB)
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37 Data preparation.mp4 (2.7 MB)
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39 Data preprocessing.mp4 (160.09 MB)
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40 Baseline model.mp4 (38.57 MB)
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41 Scaling up.mp4 (49.6 MB)
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42 Regularization.mp4 (72.6 MB)
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43 Module roadmap.mp4 (24.78 MB)
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46 BAGGing.mp4 (49.64 MB)
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47 Decision Trees.mp4 (242.96 MB)
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48 Random Forests.mp4 (30.92 MB)
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49 Boosting.mp4 (115.14 MB)
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53 Summary.mp4 (14.42 MB)
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54 Module roadmap.mp4 (10.5 MB)
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55 Unsupervised Learning overview.mp4 (49.4 MB)
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58 Principal Component Analysis (PCA).mp4 (180.38 MB)
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59 Clustering algorithms.mp4 (69.8 MB)
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60 K-means clustering algorithm.mp4 (219.63 MB)
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61 Semi-supervised Learning.mp4 (101.69 MB)
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