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Machine Learning with TensorFlow by Nishant Shukla

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Chapter 3. Linear regression and beyond

This chapter covers

  • Fitting a line to data points
  • Fitting arbitrary curves to data points
  • Testing performance of regression algorithms
  • Applying regression to real-world data

Remember science courses back in high school? It might have been a while ago, or who knows—maybe you’re in high school now, starting your journey in machine learning early. Either way, whether you took biology, chemistry, or physics, a common technique to analyze data is to plot how changing one variable affects another.

Imagine plotting the correlation between rainfall frequency and agriculture production. You may observe that ...

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