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Logistic Regression in Machine Learning Explained with a Simple Example
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Adagrad Algorithm Explained — Python Implementation from Scratch
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With how common machine learning has become today, you may wonder how it works and what its limitations are. So here’s a simple primer on the technology.
Machine learning has actually been around since 1956. Arthur Samuel didn’t want to write a highly-detailed, lengthy program that could enable a computer to beat him in a game of checkers.
Key Takeaways : Artificial Intelligence (AI) simulates human intelligence using machines and has evolved from simple rule-based systems to complex algorithms. Machine Learning (ML) is a subset of ...
Machine learning is an area of artificial intelligence (AI) with a concept that a computer program can learn and adapt to new data without human intervention. A complex algorithm or source code is ...
Usually, in supervised learning, training data is manually labeled by subject-matter domain experts to prepare it to train the AI algorithm—a time-consuming, laborious, and therefore costly task.
Machine learning isn’t a single approach—it’s a collection of different techniques used for solving different problems, says Peter Jeffcock, director of big data product marketing at Oracle.
I hope that this simple guide will help sort out the confusion around deep learning and that the 8 practical examples will help to clarify the actual use of deep learning technology today.
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