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…
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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…
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…
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,…
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…
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…
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…
Examples of Machine Learning
In an earlier newsletter I discuss how machine learning developed as a way to overcome certain limitations in the early…
Supervised vs Unsupervised Learning
Like people, machines can learn through supervised or unsupervised learning. With supervised learning, a human labels the data. So the…
Understanding Neural Networks
An artificial neural network (often referred to simply as a neural network) is a computer system modeled after the structure…
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…
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…
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