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03 Working with Github Projects/003 Cloning individual branches.mp4 42.06 MB
03 Working with Github Projects/001 Analyzing a GitHub project structure.mp4 29.95 MB
03 Working with Github Projects/002 Cloning a GitHub repo.mp4 24.51 MB
02 Getting Started/006 Managing your log.mp4 20.24 MB
02 Getting Started/004 Working with the staging environment.mp4 16.71 MB
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1.Introduction/01.What can machine learning do for your marketing campaign.mp4 21.13 MB
1.Introduction/02.The time for machine learning (ML) is now.mp4 17.69 MB
4.3. Using ML to Improve Active Customer Engagement/11.Use case - Improve customer satisfaction.mp4 15.87 MB
2.1. Using ML to Improve Market Awareness/05.Use case - Media planning and implementation.mp4 14.33 MB
3.2. Using ML to Improve Consideration Engagement/07.Use case - Predict demand.mp4 13.02 MB
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06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4 118.16 MB
07 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp4 63.1 MB
05 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp4 60.67 MB
08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp4 57.03 MB
09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp4 42.68 MB
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6. Utilizando SourceTree en GitHub/4. Generando hotfixes y features.mp4 18.05 MB
5. Utilizando el cliente de GitHub/1. Instalación del cliente gráfico de GitHub en Mac.mp4 14.35 MB
5. Utilizando el cliente de GitHub/2. Instalación del cliente gráfico de GitHub en Windows.mp4 13.07 MB
5. Utilizando el cliente de GitHub/6. Solucionar conflictos en GitHub.mp4 12.76 MB
2. Primeros pasos en GitHub/5. Examinar el historial de un archivo.mp4 11.84 MB
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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 186.29 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.29 MB
1. Welcome/1. Welcome.mp4 49.68 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
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