# machine-learning 354

- Role of Bias in Neural Networks
- A simple explanation of Naive Bayes Classification
- How does the Google “Did you mean?” Algorithm work?
- What is the difference between a Generative and Discriminative Algorithm?
- What are advantages of Artificial Neural Networks over Support Vector Machines?
- Tensorflow: how to save/restore a model?
- What is the difference between supervised learning and unsupervised learning?
- difference between tensorflow tf.nn.softmax and tf.nn.softmax_cross_entropy_with_logits
- Which machine learning classifier to choose, in general?
- Difference between classification and clustering in data mining?
- How to understand Locality Sensitive Hashing?
- How does Apple find dates, times and addresses in emails?
- Softmax function - python
- Nearest neighbors in high-dimensional data?
- Is it possible to specify your own distance function using scikit-learn K-Means Clustering?
- How to train an artificial neural network to play Diablo 2 using visual input?
- When to use Genetic Algorithms vs. when to use Neural Networks?
- Why does one hot encoding improve machine learning performance?
- tensorflow not found in pip
- Save classifier to disk in scikit-learn
- Machine Learning in Game AI
- machine learning libraries in C#
- Is there a rule-of-thumb for how to divide a dataset into training and validation sets?
- multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of the hidden layer?
- How can I build a model to distinguish tweets about Apple (Inc.) from tweets about apple (fruit)?
- What is the difference between linear regression and logistic regression?
- Is there a recommended package for machine learning in Python?
- How do I find Wally with Python?
- What is machine learning?
- Detecting patterns in waves
- Estimating the number of neurons and number of layers of an artificial neural network
- how to extract the decision rules from scikit-learn decision-tree?
- What is an intuitive explanation of the Expectation Maximization technique?
- Numpy 1-hot array
- How to interpret “loss” and “accuracy” for a machine learning model
- Why must a nonlinear activation function be used in a backpropagation neural network?
- Anyone Recommend a Good Tutorial on Conditional Random Fields
- Machine learning in OCaml or Haskell?
- How to build random forests in R with missing (NA) values?
- How to interpret Poolallocator messages in tensorflow?
- Logo recognition in images
- Training a Neural Network with Reinforcement learning
- Python: tf-idf-cosine: to find document similarity
- How to get most informative features for scikit-learn classifiers?
- TensorFlow, why was python the chosen language?
- Perceptron learning algorithm not converging to 0
- Ways to improve the accuracy of a Naive Bayes Classifier?
- Resources for working with Machine Learning in F#
- Unsupervised clustering with unknown number of clusters
- Why should weights of Neural Networks be initialized to random numbers?