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The cross-entropy error function in neural networks

Are Support Vector Machines still considered “state of the art” in their niche?

Neural networks: which cost function to use?

Why should the data be shuffled for machine learning tasks

Are there free cloud services to train machine learning models?

How to set the number of neurons and layers in neural networks

Are there any rules for choosing the size of a mini-batch?

Data science without knowledge of a specific topic, is it worth pursuing as a career? [closed]

Difference of Activation Functions in Neural Networks in general

Sliding window leads to overfitting in LSTM?

When to remove correlated variables

How do I set/get heap size for Spark (via Python notebook)

Deriving backpropagation equations “natively” in tensor form

Anomaly detection on time series

Proper derivation of dz[1] expression for backpropagation algorithm

Dimension of weight matrix in neural network

Regularization in simple math explained

Predicting t+1 from a set of sequences

Perceptron - Which step function to choose

What is the difference between KL-divergence, JS-divergence, Wasserstein distance and MMD?

train half model in one time and other in another time

How to elegantly caclulate probability distribution parameters for a particular random variable given some observed data?

Recurrent neural network (LSTM) dimensions error

Anomaly Detection for Large Time Series Data [closed]