Importance of Machine Learning in Business Operations

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Questions and Answers

What is the primary reason for a machine learning model not fitting the data well?

  • The data quality is poor (correct)
  • The training data is insufficient
  • The model is overfitting
  • The algorithm is too complex

Which of the following is NOT an example of a task that machine learning can be used for?

  • Responding to customer service calls
  • Performing complex mathematical calculations (correct)
  • Reviewing text for inappropriate content
  • Bookkeeping

What is a single row of data in a dataset called?

  • A feature
  • A column
  • An instance (correct)
  • An attribute

What is the purpose of a training dataset in machine learning?

<p>To provide initial data for the model to learn from (B)</p> Signup and view all the answers

What is the role of a validation or testing dataset in machine learning?

<p>To ensure that the model is interpreting the data accurately (C)</p> Signup and view all the answers

Which of the following statements about machine learning datasets is NOT true?

<p>All instances in a dataset must have the same number of attributes (A)</p> Signup and view all the answers

What is the purpose of providing training and validation datasets to a machine learning system?

<p>To improve the accuracy of the model over time (A)</p> Signup and view all the answers

Which of the following is NOT one of the six elements of machine learning mentioned?

<p>Output (A)</p> Signup and view all the answers

When starting a machine learning project, what is an important question to consider regarding data?

<p>Is the data structured or unstructured? (A)</p> Signup and view all the answers

What is the process called when organizing and integrating data collected from various sources?

<p>Data Curation (A)</p> Signup and view all the answers

Which of the following is NOT mentioned as a resource for obtaining publicly available datasets?

<p>Private Corporate Databases (D)</p> Signup and view all the answers

What is the role of data in machine learning?

<p>Data is used to train and improve the machine learning model (D)</p> Signup and view all the answers

What is the first step in a machine learning task?

<p>Gathering required data (D)</p> Signup and view all the answers

Which of the following is an example of a supervised learning task?

<p>Predicting house prices (D)</p> Signup and view all the answers

What is the purpose of a loss function in machine learning?

<p>To evaluate how well the model fits the data (A)</p> Signup and view all the answers

Which of the following is an example of an unsupervised learning task?

<p>Generating new tweets based on Donald Trump's tweets (D)</p> Signup and view all the answers

What is a machine learning model?

<p>A mathematical function that defines the relationship between input and output data (C)</p> Signup and view all the answers

Which of the following statements about machine learning models is true?

<p>Each model is suitable for a unique task (D)</p> Signup and view all the answers

What is the first step in the machine learning process?

<p>Data collection (D)</p> Signup and view all the answers

Which of the following is NOT part of data preparation?

<p>Training the model (B)</p> Signup and view all the answers

What is the purpose of randomizing data during data preparation?

<p>To erase the effects of the order in which data was collected (A)</p> Signup and view all the answers

Why is it important to choose the right model in the machine learning process?

<p>Different algorithms have different strengths and weaknesses (C)</p> Signup and view all the answers

What is the goal of training the model?

<p>To answer a question or make a prediction correctly as often as possible (C)</p> Signup and view all the answers

Why is model evaluation important?

<p>To assess the model's performance during initial research phases (B)</p> Signup and view all the answers

What are the parameters that the algorithm needs to learn in linear regression?

<p>m and b (D)</p> Signup and view all the answers

What is the purpose of evaluating the model using previously unseen data?

<p>Measure objective performance (B)</p> Signup and view all the answers

Which typeface is used in the presentation as mentioned in the text?

<p>Open Sans (A)</p> Signup and view all the answers

What is the recommended train/eval split ratio in Machine Learning?

<p>80/20 (D)</p> Signup and view all the answers

What does each iteration of the process in linear regression represent?

<p>Training step (A)</p> Signup and view all the answers

What is the key difference between unseen data and test data in model evaluation?

<p>Helps tune the model (D)</p> Signup and view all the answers

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