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What’s the Difference between Data Mining and Machine Learning?
When you’re working with data (regardless of the size of your data sets), you’re likely to encounter two…
Doug Rose
118 posts
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Regression in Machine Learning
Generally, machine learning can be used to analyze data in four different ways. Two of which are predictive and two…
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Cost Functions in Neural Networks
Machines often learn the same way humans do. They make mistakes and often pay the price for doing so. For…
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Supervised and Unsupervised Learning Algorithms
Like people, machines can learn through supervised and unsupervised machine learning, but human learning differs from machine learning. With humans,…
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The Intersection of Big Data and Machine Learning
In this newsletter, I take a deeper dive into the important role that big data plays in machine learning.
Key…
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Data Lake vs Data Warehouse
The growing volume of diverse data that organizations now collect and store has been a driving force behind the development…
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The Differences Between Expert Systems and Machine Learning
Expert systems and machine learning are different approaches to artificial intelligence. The difference between the two boils down to how…
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Examples of Machine Learning
In an earlier newsletter I discuss how machine learning developed as a way to overcome certain limitations in the early…
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Supervised vs Unsupervised Learning
Like people, machines can learn through supervised or unsupervised learning. With supervised learning, a human labels the data. So the…
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Understanding Neural Networks
An artificial neural network (often referred to simply as a neural network) is a computer system modeled after the structure…
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Artificial Intelligence Learning vs Memorizing
In my previous Newsletter, I discussed an approach to artificial intelligence (AI) referred to as the physical symbol system hypothesis…
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The Power of the Symbolic Systems Approach
The symbolic systems approach and AI planning work great for applications that have a limited number of patterns. Image a…