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Premium Post Machine Learning Stack Machine Learning Models - Get Better Results Model stacking will improve your results; but first, discover how it works and learn how to apply model stacking in Python.
Premium Post Machine Learning Web Scraping For Machine Learning - With SQL Database Machine Learning requires data. But what about when the data you need is not available as a dataset? What then? Do you pay someone, or do it yourself?
Premium Post Deep Learning TensorFlow 2.0 Tutorial in 10 Minutes TensorFlow is inevitably the package to use for Deep Learning, if you want the easiest deployment possible. On top of that, Keras is the standard API and is easy to use, which makes TensorFlow powerful for you and everyone else using it.
Premium Post Deep Learning Optimizers Explained - Adam, Momentum and Stochastic Gradient Descent Picking the right optimizer with the right parameters, can help you squeeze the last bit of accuracy out of your neural network model.
Premium Post Machine Learning How to use Grid Search CV in sklearn, Keras, XGBoost, LightGBM in Python GridSearchCV is a brute force on finding the best hyperparameters for a specific dataset and model. Why not automate it to the extend we can?
Premium Post Deep Learning Activation Functions Explained - GELU, SELU, ELU, ReLU and more Better optimized neural network; choose the right activation function, and your neural network can perform vastly better. 6 activation functions explained.
Premium Post Deep Learning Neural Networks: Feedforward and Backpropagation Explained & Optimization What is neural networks? Developers should understand backpropagation, to figure out why their code sometimes does not work. Visual and down to earth explanation of the math of backpropagation.
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