In statistics, what is defined as the probability of a hypothesis test of finding an effect - if there is an effect to be found?

You want to create a machine learning algorithm to identify food recipes on the web. To do this, you create an algorithm that looks at different conditional probabilities. So if the post includes the word flour, it has a slightly stronger probability of being a recipe. If it contains both flour and sugar, it even more likely a recipe. What type of algorithm are you using?

What is lazy learning?

What is Q-learning reinforcement learning?

The data in your model has low bias and low variance. How would you expect the data points to be grouped together on the diagram?

Your machine learning system is using labeled examples to try to predict future data, compare that data to the predicted result, and then the model. What is the best description of this machine learning method?

Which machine learning techniques are implemented by Apache Mahout?

What is the accuracy of the Logistic Regression classif‌ication algorithm?

Which simulation tools rely on a transaction-flow approach toward modeling systems?

Which elements of a typical reinforcement learning algorithm def‌ines the goals of a learner as a numerical value?

Which of the following is an ensemble algorithm based on bagging?