Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science +Jupyter/notebook +Poker +Interdisciplinary research -Artemy Kolchinsky +Boosting (machine learning) +Ulrike von Luxburg -Machine learning"

Positive matches

• 0.110 + - Class imbalance
• 0.070 + - Science
• 0.024 + - IPython notebook
• 0.022 + - Gradient descent
• 0.021 + - Data clustering
• 0.020 + - Recommender system
• 0.015 + - Ron Meir
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.015 + - IPython
• 0.014 + - Jupyter
• 0.010 + - Bookshelf
• 0.009 + - Data science
• 0.008 + - Industry-Academic Partnership
• 0.008 + - Privacy and Deanonymization
• 0.007 + - Learning
• 0.006 + - Programming interview
• 0.006 + - Future of work
• 0.006 + - SSH tunneling
• 0.006 + - SSH

Negative matches

• 0.002 + - tf-idf
• 0.002 + - Stability selection
• 0.002 + - Javascript
• 0.002 + - Netflix prize
• 0.002 + - D3
• 0.002 + - David MacKay
• 0.002 + - Yoshua Bengio
• 0.002 + - Isomap
• 0.002 + - Atwood's law
• 0.002 + - Deep learning and graphs
• 0.002 + - Deep generative models
• 0.002 + - PCA
• 0.002 + - Jeff Atwood
• 0.002 + - word2vec
• 0.002 + - Cross entropy
• 0.002 + - UMAP
• 0.002 + - Keras
• 0.002 + - t-SNE
• 0.001 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Brain and deep learning