machine-learning 354

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