In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should b...
This paper was written by Bojan Ploj. Bojan is interested in machine learning, specialy in MLP learning algorithms. Abstract During the last twenty years, gradient-bas...
Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Le...
Summary: The drive toward transparency and explainability in our modeling seems unstoppable. Up to now that meant sacrificing accuracy for interpretability. However...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
This article comes from Toodarkpark. Below is an extract, covering a few of the programming languages listed in the original article. The proliferation of modern programm...
A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus...
Introduction Much of the recent AI revolution has been focused on automation through big data and/or sensors and feedback into neural networks. The resulting applications...
Critics describe machine learning as a “black box,” where data goes in and a prediction comes out, without visibility into how the prediction was derived. Thi...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...