4.49 GB | 00:24:56 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Introduction (257.45 MB)
1 2 intro (2.63 MB)
10 Overfitting and Regularization (238.61 MB)
10 5 regularization (1.08 MB)
11 Softmax Classifier and Neural Networks (291.71 MB)
12 Artificial Neural Networks and Backproragation Algorithm (205.92 MB)
12 3 ANN (4.31 MB)
13 Artificial Neuarl Network - training (220.47 MB)
13 2 ANNTrainImages (2.81 MB)
14 Support Vector Machines (242.27 MB)
14 4 SVM (3.41 MB)
15 Kernel Functions and Model Selections (214.7 MB)
16 Unsuppervised Learning and Clustering (191.83 MB)
16 6 Unsupervised learning (3.37 MB)
17 Dimentionality Reduction (261.8 MB)
17 3 Compression and dimension reduction (3.72 MB)
18 Anomaly Detection (300.34 MB)
18 3 Anomaly detection (3.03 MB)
19 Anomaly Detection (2) (69.03 MB)
2 Supervised Learning and Linear Regression (317.31 MB)
2 2 regression (8 MB)
20 Recommender Systems (222.35 MB)
20 2 Debugging machine learning systems (1.86 MB)
20 4 DesigningAMachineLearningSystem (531.33 KB)
20 6 recommenderSystems (1.72 MB)
3 Linear Regression and Gradient Descent (321.86 MB)
4 Local Regression (169.42 MB)
5 Python for ML (167.08 MB)
6 Python for ML(2) (192.17 MB)
7 Python for ML(3) (179.94 MB)
8 Python for ML(4) (113.75 MB)
9 Logistic Regression (289.54 MB)
9 4 LogesticRegresstion (2.94 MB)