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Programming Machine Learning
book

Programming Machine Learning

by Paolo Perrotta
March 2020
Beginner to intermediate
342 pages
8h 38m
English
Pragmatic Bookshelf
Content preview from Programming Machine Learning

What You Just Learned

This chapter was all about multiple linear regression. We extended our program to datasets with more than one input variable—using multiple weights to match the input variables. We also got rid of the explicit bias, turning it into just another weight. Our learning program is now powerful enough to tackle real-world problems, although it doesn’t look any more complicated than it did before.

Along the way, you also learned about matrix multiplication and matrix transpose. These pieces of math sit right at the core of ML. Now that they’re in your toolbox, they’ll serve you well for years to come.

Finally, in this chapter we started delving deeper into NumPy. I personally have a love--hate relationship with NumPy: I love its ...

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Publisher Resources

ISBN: 9781680507706Errata Page