Search "+Food -Beer -GraphLab -Stretching +Andy Connelly +Automated machine learning -Guardian -Class imbalance problem +Meta learning"

Positive matches

• 0.073 + - Machine learning
• 0.056 + - Reinforcement learning
• 0.029 + - Social media
• 0.028 + - Q-learning
• 0.024 + - Evolution strategy
• 0.022 + - Modeling animal behaviors with reinforcement learning
• 0.022 + - Odor
• 0.019 + - Whiskey
• 0.015 + - Wine pairing
• 0.011 + - Cake
• 0.010 + - Restaurants
• 0.009 + - Catching Fire: How Cooking Made Us Human
• 0.008 + - Music
• 0.007 + - Calorie
• 0.007 + - Food pairing
• 0.004 + - Gradient descent
• 0.003 + - Weka
• 0.003 + - Public datasets
• 0.003 + - Decision tree
• 0.003 + - Yann LeCun

Negative matches

• 0.099 + - Class imbalance
• 0.056 + - Yoga
• 0.054 + - Home
• 0.051 + - Health
• 0.037 + - Network analysis libraries
• 0.025 + - Trappist beer
• 0.011 + - Artificial neural network
• 0.009 + - Neural doodle
• 0.008 + - Brain and deep learning
• 0.007 + - Cheese
• 0.006 + - Cinder toffee
• 0.006 + - Bread
• 0.005 + - Deep learning
• 0.005 + - Dropout
• 0.003 + - scikit-learn
• 0.003 + - Residual leanrning
• 0.003 + - Acupuncture
• 0.003 + - Dietary supplement
• 0.003 + - Health care
• 0.002 + - Theano