Basic Machine Learning Interview Questions

Arjunkumar·2021년 5월 25일
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What is Machine Learning

Machine Learning is the study of algorithms that allows computer programs to automatically imporve through experience.

Machine learning (ML) is a branch of artificial intelligence, and as defined by Computer Scientist and machine learning pioneer Tom Mitchell.

For instance, if you provide a machine learning model with many songs that you enjoy, along with their corresponding audio statistics (dance-ability, instrumentality, tempo, or genre). It oughts to be able to automate (depending on the supervised machine learning model used) and generate a recommender system as to suggest you with music in the future that (with a high percentage of probability rate) you’ll enjoy, similarly as to what Netflix, Spotify, and other companies do.

In a simple example, if you load a machine learning program with a considerable large dataset of x-ray pictures along with their description (symptoms, items to consider, and others), it oughts to have the capacity to assist (or perhaps automatize) the data analysis of x-ray pictures later on. The machine learning model looks at each picture in the diverse dataset and finds common patterns found in pictures with labels with comparable indications. Furthermore, (assuming that we use an acceptable ML algorithm for images) when you load the model with new pictures, it compares its parameters with the examples it has gathered before to disclose how likely the pictures contain any of the indications it has analyzed previously.

Find full set of ML interview questions on InterviewBit

Interview Questions

  • Why was Machine Learning Introduced?
  • What is Supervised and Unsupervised Learning?
  • What is PCA? When do you use it?
  • Explain SVM Algorithm in Detail
  • What is Cross-Validation?
  • Define Precision and Recall?
  • What is a Neural Network?
  • What is Ensemble learning?

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