Machine Learning Questions
Machine Learning Questions by
bnomial
November 2022
Regularizing a model
Dropout and loss
A decision tree for that?
Precision is more important
Salary leak
Two experiments. Round two.
Divisible numbers
Testing loss going nuts
Grid competition
October 2022
High training
Useless explanation
Date of sale
Two experiments. Round one.
Tossing a fair coin
A clever loss function
Features and data
False Negatives
Scikit-Learn’s fan
Learning gap
Extra regularization
Recurring daughter
Coffee beans
The model’s recall
Logistic regression exercices
Scrubbing movies
Low training and testing
Junior suggestions
Classifying bottles
The beer factory
Paul, the octopus
Model structures
Evaluating logistic regression
Representing music
True Negatives
A morning walk
Encoding features
September 2022
Bounding boxes
Stock prices
Recognizing overfitting
Initializing neural networks
Zombies taking over
Cheating with a model
Normalizing inputs to a layer
Leave one out
Universal approximators
Missing answers
Inattentive drivers
Broken bottles
Job descriptions
The final exam
The gradient of a function
True Positives
Output activation
Policing crime
Learnable parameters
Augmenting the dataset
Vanishing gradients
Bagging or Boosting?
The output of the network
Studying decision trees
Defective chips
Data augmentation on YouTube
Six months of data
August 2022
A classification model
Maximum depth
Hiring a team
Abigail’s chart
Low-bias models
Three elevators
Bloody snake
The political reporter
Hailey’s labeling approach
The weird puzzle room
Predictive maintenance
The first exam
Distance measures
Softmax mockery
Vintage shoes
Machine Learning Questions by
bnomial
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