Artificial Intelligence is a branch of Computer Science that is concerned with building smart & intelligent Machines

Machine learning is a technique to implement AL that can learn from the data by themselves without being explicitly programmed.

• Supervised Learning In Supervised Learning , The Machine Learning algorithm learns from Labelled Data

  ex: We give Data of 2 fruits apple and mango with their names (label) .
     then the machine will decide that the next data fell in which category.
  

  Types Of Supervised Learning

  • Classification It is about predicting a class or discrete values

    ex: Male / Female , True / False
    

  • Regression It is about predicting a quantity or continuos values

    ex: salary , age , Price
    

• Unsupervised Learning In Unsupervised Learning , The Machine Learning algorithm learns from Unlabelled Data

  ex: We give Data of fruits without their names (labels). 
     so , it will group them accordingly 
  

• Reinforcement Learning Reinforcement Learning is an area of Machine learning concerned with how intelligent agents take actions in an environment to maximize its rewards.

Deep Learning is a subfield of Machine Learning that uses Artificial Neural Networks to learn from the data

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
popular uses include fraud detection, spam filtering, malware threat detection

• Data Preprocessing
  • Data Cleaening
  • Categorical Encoding
  • Feature Scaling
• Regression
• Classification
• Clustering
• Association Rule
• Reiforcement Learning
• Natural Language Precessing
• Deep Learning