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Machine Learning With Google

Learn more about computerscience with this collection

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

Machine Learning With Google

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Python

  • Python is a general-purpose, object-oriented programming language.
  • It emphasises code readability by using white space.
  • It is easy to learn.
  • It is a favourite of programmers and developers.
  • Python is very well suited for use in machine learning at a large scale.
  • Its suite of specialised deep learning and machine learning libraries includes tools like scikit-learn, Keras and TensorFlow. It enables data scientists to develop sophisticated data models that plug directly into a production system.

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R

  • R is also is an open-source programming language.
  • It's optimised for statistical analysis and data visualisation.
  • R has a rich ecosystem with complex data mode...

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63 reads

The main difference between R and Python

They approach data science differently:

  • R is used for statistical analysis.
  • Python provides a more general approach to data.
  • R is built by statisticians and leans heavily into statistical model...

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167 reads

Python vs. R: which one to choose

The language to choose depends on your situation.

Points to consider:

  • Do you have programming experience? Python has a learning curve that's linear and smooth. With R, novices can Run data analysis tasks in minutes, but it takes longer to de...

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64 reads

Other key differences

Data collection

  • Python supports all kinds of data formats.
  • R is designed for data analysts to import data from Excel, CSV and text files.

Data exploration

  • In Python, you ...

21

77 reads

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The main difference between R and Python

They approach data science differently:

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  • R is built by statisticians and leans heavily into statistical model...

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