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17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
02. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
08. Decision Trees/3. Decision trees introduction - information gain.mp4 49.2 MB
03. Linear Regression/2. Linear regression theory - optimization.mp4 44.3 MB
12. Neural Networks/29. Neural network example II - iris dataset.mp4 37.3 MB
03. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
12. Neural Networks/12. Optimization - cost function.mp4 27.2 MB
06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4 24.5 MB
06. Naive Bayes Classifier/5. Text clustering - basics.mp4 23.2 MB
19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4 22.7 MB
04. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 22.4 MB
14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4 22.0 MB
07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4 21.8 MB
12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4 20.6 MB
12. Neural Networks/13. Simplified feedforward network.mp4 20.4 MB
08. Decision Trees/2. Decision trees introduction - entropy.mp4 20.2 MB
12. Neural Networks/2. Axons and neurons in the human brain.mp4 20.2 MB
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16. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
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10. Deep Learning Recurrent Neural Networks (RNN)/7. GRU and LSTM (pt 1).mp4 83.9 MB
16. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
9. Deep Learning Convolutional Neural Networks (CNN)/2. What is Convolution.mp4 82.1 MB
9. Deep Learning Convolutional Neural Networks (CNN)/5. Convolution on Color Images.mp4 79.3 MB
8. Deep Learning Artificial Neural Networks (ANN)/8. Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
4. Exponential Smoothing and ETS Methods/8. SES Code.mp4 72.9 MB
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19 - Importing Data Using readtable().mp4 11.2 MB
14 - Introducing the Live Script Editor.mp4 7.3 MB
23 - Understanding the Data Science Workflow.mp4 5.8 MB
01 - Course Overview.mp4 4.4 MB
03 - Introducing MATLAB.mp4 4.3 MB
04 - Installing MATLAB.mp4 3.4 MB
25 - Further Learning and Next Steps.mp4 2.8 MB
05 - Understanding MATLAB Licensing.mp4 2.5 MB
26 - Course Summary.mp4 2.0 MB
21 - Summary.mp4 1.9 MB
16 - Summary.mp4 1.4 MB
11 - Summary.mp4 1.3 MB
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