Build a Deep Understanding of Machine Learning Tools Using Small Targeted Projects
Last Updated on June 7, 2016
Once you have chosen a machine learning tool you need to improve your skill in using it.
Machine learning tools have a large number of features. Having a recipe for using a feature is not the same as deeply knowing how to use the feature, its limitations or its capabilities.
Also, once you build skills in a machine learning tool you need to be able to demonstrate that you know how to use it well. This is more than using it on a project to deliver a result. This helps, but there are ways to show deep knowledge of a tool as you are building your knowledge.
In this post you will discover how you can investigate features of machine learning tools in order to improve your skill using the tool and to demonstrate your growing skills to others. This can be most helpful for you at the start of new projects and in interviews.
Investigate Machine Learning Tools
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