Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences +Recommender system +Gradient descent +Pandas (Python) -scikit-learn"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Machine learning
- Carlos Guestrin
- Class imbalance
- Poker
- Python
- Machine learning for physical sciences
- Recommender system
- Gradient descent
- Pandas (Python)
but not related to:
Positive matches
- 0.068 + - Python/pandas
- 0.035 + - Netflix prize
- 0.034 + - Neural network
- 0.031 + - Neuron
- 0.028 + - Paradox
- 0.024 + - Probability
- 0.018 + - Pajek
- 0.013 + - IPython notebook
- 0.013 + - Jupyter/notebook
- 0.012 + - Learning
- 0.011 + - Boosting (machine learning)
- 0.011 + - Probability, Paradox, and the Reasonable Person Principle
- 0.010 + - Future of work
- 0.009 + - Tom M. MItchell
- 0.009 + - Image completion
- 0.009 + - Training dataset
- 0.009 + - Cluster analysis
- 0.008 + - Privacy and Deanonymization
- 0.008 + - One-shot learning
- 0.008 + - Artificial neural network
Negative matches
- 0.027 + - Deep learning
- 0.013 + - tfidf
- 0.011 + - Decision tree
- 0.010 + - Tim Hopper
- 0.009 + - Lexical feature selection
- 0.006 + - tf-idf
- 0.005 + - Python/Modules
- 0.004 + - skorch
- 0.003 + - Random forest
- 0.002 + - Text analysis
- 0.002 + - Pointwise mutual information
- 0.001 + - Gilles Louppe
- 0.000 + - Atwood's law
- 0.000 + - PyPy