Search results for "Probability Statistics"

Machine Learning Frustration

Machine Learning for Programmers

How Do I Get Started In Machine Learning? I’m a developer. I have read a book or some posts on machine learning. I have watched some of the Coursera machine learning course. I still don’t know how to get started… Does this sound familiar? The most common question I’m asked by developers on my newsletter is: How do […]

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ROC Curve Explaination

Assessing and Comparing Classifier Performance with ROC Curves

The most commonly reported measure of classifier performance is accuracy: the percent of correct classifications obtained. This metric has the advantage of being easy to understand and makes comparison of the performance of different classifiers trivial, but it ignores many of the factors which should be taken into account when honestly assessing the performance of […]

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machine learning a probabilistic approach

Practical Advice for Getting Started in Machine Learning

David Mimno is an assistant professor in the Information Sciences department at Cornell University. He has a background and interest in Natural Language Processing (NLP), specifically topic modeling. Notably, he is the chief maintainer of MALLET, the Java-based NLP library. I recently came across a blog post by David titled “Advice for students of machine […]

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Machine Learning Mastery

Start Here with Machine Learning

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. […]

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Where Does Machine Learning Fit In?

Machine Learning is a multidisciplinary field and it can be very confusing when you are getting started to differentiate machine learning from the closely related fields of Artificial Intelligence and Data Mining. In this post you will learn about those fields that are related to machine learning. Specifically, you will learn about the boundaries of […]

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