Last Updated on June 7, 2016 There are a lot of machine learning tools out there. Which ones should you use? What tools could actually be useful on your project? Choosing a tool is a big deal. The tools that you use for machine learning determine the results you can achieve. It is critical that you take the time to choose the best tools that you can for your project. In this post you will discover a simple tactic that […]

Last Updated on June 7, 2016 How can you learn about a machine learning tool quickly? Using the right tool can mean the difference between getting good predictions quickly and a project on which you cannot deliver. You need to evaluate machine learning tools before you use them. You need to know that a machine learning tool is right for you, right for your project and that you can trust it. In this post you will discover how you can rapidly […]

Last Updated on June 7, 2016 How do you best use a machine learning tool to make accurate predictions? You select and use machine learning tools only to make your life easier on a machine learning project. The tools are exist to help you build models that make accurate predictions. It is important that you know how to best use them in this process. In this post you will discover a simple 5-step process that you can use map any […]

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 […]

Last Updated on June 7, 2016 After you have been using a tool for a while, you will develop a specific way of working with it. You may even have deep knowledge of the limitations of the tool and how to fix them, or be frustrated by specific features that are missing. You can augment machine learning tools to formalize the way you use it, fix limitations and add new features. Augmenting tools by creating plug-ins, patches and wrappers and […]

Last Updated on June 7, 2016 Where do you begin in machine learning? Is actually breaking ground and getting started a question of motivation? In this post discover the personal story of how finding the landmarks in machine learning made the difference for one software engineer. Find The Landmarks in Machine LearningPhoto by Craig Stanfill, some rights reserved. I received an inspiring email from Cliff Bryant in the new year. Cliff is a senior software engineer looking to get started in machine learning. He […]