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What is machine learning?

Machine Learning (ML) is a type of artificial intelligence that is mainly concerned with the development of algorithms which allow a computer to learn from the data and past experiences on their own. The term machine learning was first introduced by Arthur Samuel in 1959

Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection etc.

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Features of Machine Learning:

  • Machine learning uses data to detect various patterns in a given dataset.
  • It can learn from past data and improve automatically
  • It is a data-driven technology.
  • Machine learning is much similar to data mining as it also deals with the huge amount of the data.
key points which show the importance of Machine Learning:
  • Rapid increment in the production of data
  • Solving complex problems, which are difficult for a human
  • Decision making in various sector including finance
  • Finding hidden patterns and extracting useful information from data.

Classification of Machine Learning

Syllabus - What you will learn from this course

Week 1: Introduction to Machine Learning
Week 2: Regression with multiple input variables
Week 3: Classification
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