Math You Don't Need to Know for Machine Learning
Grab a copy of The Elements of Statistical Learning (“the machine learning bible”) and you might be a little overwhelmed by the mathematics. For example, thi...
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How to Configure the Number of Layers and Nodes in a Neural Network
This article was written by Jason Brownlee. Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the numbe...
What Are Machine Learning Models Hiding?
This article was written by Vitaly Shmatikov. Machine learning is eating the world. The abundance of training data has helped ML achieve amazing results for object reco...
Top takeaways from R Studio conf 2019
Introduction During the most recent decade, the force originating from both the scholarly community and industry has lifted the R programming language. Also, they have wo...
IMPACT: Choose a domain which enables you to create scalable solutions to meaningful global problems
This is the first article in what will be a three-part series: “How to make your mark on the world as a talented, socially conscious data scientist.” In thi...
A Plethora of Original, Not Well-Known Statistical Tests
Many of the following statistical tests are rarely discussed in textbooks or in college classes, much less in data camps. Yet they help answer a lot of different and inte...
DSC Webinar Series: Creating Business Applications With R & Python
Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never rea...
An Introduction to Bayesian Reasoning
An Introduction to Bayesian Reasoning You might be using Bayesian techniques in your data science without knowing it! And if you’re not, then it could enhance the p...
25 Search Queries Featuring Hundreds of Categorized Articles and Resources
These 25 queries using our own data science search engine, return hundreds of articles and resources, sorted by popularity and recency. This resource is part of a series ...
Economic Value of Learning and Why Google Open Sourced TensorFlow
Blog key points: Google open-sourced TensorFlow to gain tens of thousands of more users across hundreds (thousands) of new use cases to improve the predictive effectivene...