Implementation questions about machine learning algorithms.
After you train a model in Tensorflow: How do you save the trained model? How do you later restore this …
python tensorflow machine-learning modelI am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain …
algorithm machine-learning dataset classification naivebayesI'm aware of the gradient descent and the back-propagation algorithm. What I don't get is: when is using a bias …
machine-learning neural-networkI have a machine learning classification problem with 80% categorical variables. Must I use one hot encoding if I want to …
python pandas machine-learning one-hot-encodingWhen we have to predict the value of a categorical (or discrete) outcome we use logistic regression. I believe we …
machine-learning data-mining linear-regressionFrom the Udacity's deep learning class, the softmax of y_i is simply the exponential divided by the sum of …
python numpy machine-learning logistic-regression softmaxPlease, help me understand the difference between a generative and a discriminative algorithm, keeping in mind that I am just …
algorithm machine-learning differenceCan someone explain what the difference is between classification and clustering in data mining? If you can, please give examples …
machine-learning classification cluster-analysis data-mining terminologyI'm following this tutorial to make this ML prediction: import numpy as np import matplotlib.pyplot as plt from matplotlib …
python python-3.x machine-learning predictWhat is the difference between epoch and iteration when training a multi-layer perceptron?
machine-learning neural-network deep-learning artificial-intelligence terminology