What are the two categories of machine learning? correct answers Supervised Learning and Unsupervised Learning
What is Supervised Learning? correct answers -Goal is to generalize from training examples
-predict "labels" given "features"
-regression, binary classification, multiclass classfii...
What are the two categories of machine learning? correct answers Supervised
Learning and Unsupervised Learning
What is Supervised Learning? correct answers -Goal is to generalize from training
examples
-predict "labels" given "features"
-regression, binary classification, multiclass classfiication, ranking
What is unsupervised learning? correct answers -no labeled training examples.. so just
try to understand the distribution of your data
-density estimation, clustering, classfication
What is are the three label spaces? correct answers binary classfication, multi-class
classification, regression
What is the No Free Lunch Theorem? correct answers No single machine learning
algorithm is always the best
What is the purpose of a loss function? correct answers To find a function h within the
hypothesis class that makes the fewest mistakes within our training data
What is zero-one loss function? correct answers It counts how many mistakes a
hypothesis function h makes on the training set
What is squared loss function? correct answers -typically used in regression settings
-the loss suffered is always non-negative
-the loss suffered grows quadratically with the absolute mispredicted amount
What is absolute loss function? correct answers -the suffered loss grows linearly with
the mispredictions it is more suitable for noisy data
What is overfitting? correct answers Overfitting, or *high variance*, is caused by a
hypothesis function that fits the available data but does not generalize well to predict
new data.
What is the purpose of the validation set in machine learning? correct answers It is
used to find the and optimize the best model to solve a given problem so tune the
hyperparameters.
What is the K-NN algorithm? correct answers It is k-nearest neighbors algorithm that
looks at a certain k inputs around a seed point then based on the proximity (distance) to
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller HopeJewels. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $12.99. You're not tied to anything after your purchase.
