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Data Science Interview
  • Initial page
  • Machine Learning basic
    • Basic questions
    • Basics
    • Generalized Linear Models (GLMs)
    • Linear Regression
    • Logistic Regression
    • Naive Bayes
    • SVM
    • Decision Tree
      • Ensembling, Bagging, Boosting, Tree-based Models
      • Bagging meta-estimator
      • Random Forest
      • AdaBoost
      • Gradient Boosting Machine (GBM)
      • XGBoost
      • Light GBM
      • CatBoost
    • KNN
    • K Means
  • Neural Network Basics
    • Basic
    • CNN
    • RNN
    • Reinforcement Learning
    • GAN
  • NLP
    • General & NLP Terminology Interview Questions
    • Questions Metrics
    • Question on imp techniques
    • Activation, Optimizer and loss function
    • Advanced Language Model Questions
  • Resume Technologies
    • Untitled
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  • 1.What is Machine Learning?
  • 2. What are the various classification algorithms?

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  1. Machine Learning basic

Basics

1.What is Machine Learning?

Machine Learning explores the study and construction of algorithms that can learn from and make predictions on data.

2. What are the various classification algorithms?

PreviousBasic questionsNextGeneralized Linear Models (GLMs)

Last updated 4 years ago

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