Ritchie Ng | Machine Learning, Deep Learning, and Computer Vision

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• Ritchie Ng | Machine Learning, Deep Learning, and Computer Vision

  I am Ritchie Ng, a machine learning engineer specializing in deep learning and computer vision. Check out my code guides and keep ritching for the skies!

• Applying Machine Learning | Machine Learning, Deep Learning, and Computer Vision

  Applying Machine Learning Evaluating machine learning algorithms, training set, cross validation set, test set, bias, variance, learning curves and improving algorithm performance. 1. Evaluating Learn...

• Machine Learning Resources | Machine Learning, Deep Learning, and Computer Vision

  Machine Learning Resources These are the resources you can use to become a machine learning or deep learning engineer. All of the resources are available for free online. Please check their respective...

• Evaluating a Classification Model | Machine Learning, Deep Learning, and Computer Vision

  Adjusting the classification threshold Area Under the Curve (AUC) Confusion Matrix Resources Other Resources This tutorial is derived from Data School's Machine Learning with scikit-learn tutorial. I ...

• Evaluating a Linear Regression Model | Machine Learning, Deep Learning, and Computer Vision

  $\beta_1$ is the coefficient for x $\beta_0$ and $\beta_1$ are called the model coefficients To create your model, you must "learn" the values of these coefficients. Once we've learned these coeffici...

• Neural Networks (Learning) | Machine Learning, Deep Learning, and Computer Vision

  Learning algorithm for fitting the derived parameters given a training set Neural Network Classification Two parts in the NN’s cost function First half (-1 / m part) For each tr...