8 years ago
Machine Learning: An In-Depth, Non-Technical Guide - Part 1 (All Parts Inside)
Welcome! This is the first chapter of a five-part series about machine learning. Machine learning is a very hot topic for many key reasons, and because it provides the ability to automatically obtain deep insights, recognize unknown patterns, and create high performing predictive models from data, all without requiring explicit programming instructions.
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Machine Learning: An In-Depth, Non-Technical Guide — Part 2
Welcome to the second chapter in a five-part series about machine learning. In this chapter, we will briefly introduce model performance concepts, and then focus on the following parts of the machine learning process: data selection, preprocessing, feature selection, model selection, and model trade -
Machine Learning: An In-Depth, Non-Technical Guide — Part 3
Welcome to the third chapter in a five-part series about machine learning. In this chapter, we’ll continue our machine learning discussion, and focus on problems associated with overfitting data, as well as controlling model complexity, a model evaluation and errors introduction, model validation an -
Machine Learning: An In-Depth, Non-Technical Guide — Part 4
Welcome to the fourth chapter in a five-part series about machine learning. In this chapter, we will take a deeper dive into model evaluation and performance metrics, and potential prediction-related errors that one may encounter. -
Machine Learning: An In-Depth, Non-Technical Guide — Part 5
Welcome to the fifth and final chapter in a five-part series about machine learning. In this final chapter, we will revisit unsupervised learning in greater depth, briefly discuss other fields related to machine learning, and finish the series with some examples of real-world machine learning applic
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