4 Self-Study Machine Learning Projects

Last Updated on September 5, 2019

There are many paths into the field of machine learning and most start with theory.

If you are a programmer then you already have the skills to decompose problems into their constituent parts and to prototype small projects in order to learn new technologies, libraries and methods. These are important skills for any professional programmer and these skills can be used to get started in machine learning, today.

These are important skills for any professional programmer and these skills can be used to get started in machine learning, today.

You must learn the theory to be effective in machine learning, but you can use your interests and thirst for knowledge motivate you from working examples into mathematical understandings of algorithms.

In this post you will learn four strategies a programmer can follow to get started in machine learning. This is the path of the technician, which is practical and empirical and will require you to
To finish reading, please visit source site