Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +Future of work +Jupyter/notebook +Probability +scikit-learn +Learning +tfidf +Ulrike von Luxburg +Boosting (machine learning) -Gradient descent"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Cross validation
- Cluster analysis
- Machine learning
- Machine learning for healthcare
- Future of work
- Jupyter/notebook
- Probability
- scikit-learn
- Learning
- tfidf
- Ulrike von Luxburg
- Boosting (machine learning)
but not related to:
Positive matches
- 0.112 + - Class imbalance
- 0.067 + - tf-idf
- 0.026 + - Recommender system
- 0.022 + - IPython notebook
- 0.020 + - Data clustering
- 0.019 + - Deep learning
- 0.019 + - Probability theory
- 0.019 + - Probability distribution
- 0.016 + - Random forest
- 0.016 + - Poker
- 0.015 + - Yoav Freund
- 0.015 + - Ron Meir
- 0.015 + - Rob Schapire
- 0.014 + - Regular expression
- 0.014 + - How to study
- 0.014 + - Michael Ramscar
- 0.012 + - Artemy Kolchinsky
- 0.012 + - IPython
- 0.012 + - Jupyter
- 0.011 + - Decision tree
Negative matches
- 0.025 + - Neuron
- 0.020 + - Neural network
- 0.001 + - Ilya Sutskever
- 0.001 + - Liquid state machine
- 0.001 + - Wolfgang Maass
- 0.000 + - word2vec
- 0.000 + - Neural Turing machine