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3. Most frequently asked questions in a data science interview. Last one will surprise you. 1. Explain descriptive statistics to a 5 year old. Descriptive statistics is like taking a bunch of toys, figuring out which ones are most popular, which ones are super big or small and then sorting them into different groups so we can understand them better. 2. What is the difference between super wise and unsupervised learning and when would you use each? An easy way to answer that, while supervised learning is typically used when you have labelled data, unsupervised learning can be used when you want to discover patterns. Last, what is overfitting? Overfitting is when the model sits too closely to the training data and doesn't generalize well to new data. It's a common problem in machine learning.

3. Most frequently asked questions in a data science interview. Last one will surprise you. 1. Explain descriptive statistics to a 5 year old. Descriptive stat…

Ideas in this flowchart

  • Most Frequently Asked Questions in Data Science Interview
  • Descriptive Statistics Explanation
  • Descriptive Statistics for a 5 Year Old
  • Toys Example
  • Supervised vs Unsupervised Learning
  • Supervised Learning
  • Unsupervised Learning
  • Overfitting
  • Overfitting Explanation
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3. Most frequently asked questions in a data science interview. Last one will surprise you. 1. Explain descriptive statistics to a 5 year old. Descriptive statistics is like taking a bunch of toys, figuring out which ones are most popular, which ones are super big or small and then sorting them into different groups so we can understand them better. 2. What is the difference between super wise and unsupervised learning and when would you use each? An easy way to answer that, while supervised learning is typically used when you have labelled data, unsupervised learning can be used when you want to discover patterns. Last, what is overfitting? Overfitting is when the model sits too closely to the training data and doesn't generalize well to new data. It's a common problem in machine learning.

"Most frequently asked questions in a data science interview."

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