Udemy Practical Machine Learning for Data Scientists ARABIC BOOKWARE-BOOKTIME
Language: English | Size:4.85 GB
Genre:eLearning
Files Included :
1 Introduction.mp4 (44.43 MB)
MP4
2 What is AI.mp4 (226.82 MB)
MP4
3 Working in an AI team.mp4 (174.52 MB)
MP4
4 AI and Society.mp4 (127.03 MB)
MP4
5 How AI works.mp4 (769.51 MB)
MP4
10 Learning problems types and design patterns.mp4 (89.69 MB)
MP4
11 Losses and output layers types.mp4 (321.02 MB)
MP4
12 Scikit-learn library overview (Optional).mp4 (45.35 MB)
MP4
13 Introduction to Optimizers.mp4 (74.62 MB)
MP4
14 Linear Regression and Normal equation.mp4 (93.97 MB)
MP4
17 Gradient Descent hyperparameters.mp4 (159.56 MB)
MP4
18 Batch size hyperparameter.mp4 (81.31 MB)
MP4
19 Logistic Regression.mp4 (41.1 MB)
MP4
20 Support Vector Machines (SVM).mp4 (152.41 MB)
MP4
21 Non-linear models.mp4 (100.12 MB)
MP4
22 Deep Neural Networks (DNN).mp4 (142.9 MB)
MP4
23 Overfitting and underfitting.mp4 (122.49 MB)
MP4
24 Regularization.mp4 (72.74 MB)
MP4
25 Summary.mp4 (12.98 MB)
MP4
6 Module roadmap.mp4 (18.81 MB)
MP4
7 AI models anatomy.mp4 (128.34 MB)
MP4
8 Supervised Learning ingredients.mp4 (78.76 MB)
MP4
9 Example Keras program.mp4 (201.23 MB)
MP4
26 Module roadmap.mp4 (13.89 MB)
MP4
29 Losses and Metrics.mp4 (78.4 MB)
MP4
36 Resampling methods.mp4 (158.67 MB)
MP4
37 Data preparation.mp4 (2.7 MB)
MP4
39 Data preprocessing.mp4 (160.09 MB)
MP4
40 Baseline model.mp4 (38.57 MB)
MP4
41 Scaling up.mp4 (49.6 MB)
MP4
42 Regularization.mp4 (72.6 MB)
MP4
43 Module roadmap.mp4 (24.78 MB)
MP4
46 BAGGing.mp4 (49.64 MB)
MP4
47 Decision Trees.mp4 (242.96 MB)
MP4
48 Random Forests.mp4 (30.92 MB)
MP4
49 Boosting.mp4 (115.14 MB)
MP4
53 Summary.mp4 (14.42 MB)
MP4
54 Module roadmap.mp4 (10.5 MB)
MP4
55 Unsupervised Learning overview.mp4 (49.4 MB)
MP4
58 Principal Component Analysis (PCA).mp4 (180.38 MB)
MP4
59 Clustering algorithms.mp4 (69.8 MB)
MP4
60 K-means clustering algorithm.mp4 (219.63 MB)
MP4
61 Semi-supervised Learning.mp4 (101.69 MB)
MP4
MP4
2 What is AI.mp4 (226.82 MB)
MP4
3 Working in an AI team.mp4 (174.52 MB)
MP4
4 AI and Society.mp4 (127.03 MB)
MP4
5 How AI works.mp4 (769.51 MB)
MP4
10 Learning problems types and design patterns.mp4 (89.69 MB)
MP4
11 Losses and output layers types.mp4 (321.02 MB)
MP4
12 Scikit-learn library overview (Optional).mp4 (45.35 MB)
MP4
13 Introduction to Optimizers.mp4 (74.62 MB)
MP4
14 Linear Regression and Normal equation.mp4 (93.97 MB)
MP4
17 Gradient Descent hyperparameters.mp4 (159.56 MB)
MP4
18 Batch size hyperparameter.mp4 (81.31 MB)
MP4
19 Logistic Regression.mp4 (41.1 MB)
MP4
20 Support Vector Machines (SVM).mp4 (152.41 MB)
MP4
21 Non-linear models.mp4 (100.12 MB)
MP4
22 Deep Neural Networks (DNN).mp4 (142.9 MB)
MP4
23 Overfitting and underfitting.mp4 (122.49 MB)
MP4
24 Regularization.mp4 (72.74 MB)
MP4
25 Summary.mp4 (12.98 MB)
MP4
6 Module roadmap.mp4 (18.81 MB)
MP4
7 AI models anatomy.mp4 (128.34 MB)
MP4
8 Supervised Learning ingredients.mp4 (78.76 MB)
MP4
9 Example Keras program.mp4 (201.23 MB)
MP4
26 Module roadmap.mp4 (13.89 MB)
MP4
29 Losses and Metrics.mp4 (78.4 MB)
MP4
36 Resampling methods.mp4 (158.67 MB)
MP4
37 Data preparation.mp4 (2.7 MB)
MP4
39 Data preprocessing.mp4 (160.09 MB)
MP4
40 Baseline model.mp4 (38.57 MB)
MP4
41 Scaling up.mp4 (49.6 MB)
MP4
42 Regularization.mp4 (72.6 MB)
MP4
43 Module roadmap.mp4 (24.78 MB)
MP4
46 BAGGing.mp4 (49.64 MB)
MP4
47 Decision Trees.mp4 (242.96 MB)
MP4
48 Random Forests.mp4 (30.92 MB)
MP4
49 Boosting.mp4 (115.14 MB)
MP4
53 Summary.mp4 (14.42 MB)
MP4
54 Module roadmap.mp4 (10.5 MB)
MP4
55 Unsupervised Learning overview.mp4 (49.4 MB)
MP4
58 Principal Component Analysis (PCA).mp4 (180.38 MB)
MP4
59 Clustering algorithms.mp4 (69.8 MB)
MP4
60 K-means clustering algorithm.mp4 (219.63 MB)
MP4
61 Semi-supervised Learning.mp4 (101.69 MB)
MP4
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