20 Tips, Tricks and Techniques That You Can Use To Fight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: How can I improve accuracy? …or it may be reversed as: What […]
Ensemble algorithms are a powerful class of machine learning algorithm that combine the predictions from multiple models. A benefit of using Weka for applied machine learning is that makes available so many different ensemble machine learning algorithms. In this post you will discover the how to use ensemble machine learning algorithms in Weka. After reading […]
It can be difficult to get started in deep learning. Thankfully, a number of universities have opened up their deep learning course material for free, which can be a great jump-start when you are looking to better understand the foundations of deep learning. In this post you will discover the deep learning courses that you […]
Frustrated with one-off articles and too much math? Take the Next Step and Get Tutorial-Based Playbooks that will Guide You to a Specific Result Welcome to: the Machine Learning Mastery EBook Catalog Popular | Beginner | Intermediate | Advanced | Bundles | Donate Would you like to support Machine Learning Mastery? Consider a […]
Machine learning algorithms are a very large part of machine learning. You have to understand how they work to make any progress in the field. In this post you will discover a 14-part machine learning algorithms mini course that you can follow to finally understand machine learning algorithms. We are going to cover a lot […]
There are so many deep learning libraries to choose from. Which are the good professional libraries that are worth learning and which are someones side project and should be avoided. It is hard to tell the difference. In this post you will discover the top deep learning libraries that you should consider learning and using […]
What algorithm should you use on your dataset? This is the most common question in applied machine learning. It’s a question that can only be answered by trial and error, or what I call: spot-checking algorithms. In this post you will discover how to spot check algorithms on a dataset using R. Including the selection of […]
Do you want some tips and tricks that are useful in developing successful machine learning applications? This is the subject of a journal article from 2012 titled “A Few Useful Things to Know about Machine Learning” (PDF) by University of Washing professor Pedro Domingos. It’s an in interesting read with a great opening hook: developing successful machine […]
Need Help Getting Started with Applied Machine Learning? These are the Step-by-Step Guides that You’ve Been Looking For! What do you want help with? The most common question I’m asked is: “how do I get started?” My best advice for getting started in machine learning is broken down into a 5-step process: Step 1: Adjust Mindset. […]
