Image Recognition with Keras: Convolutional Neural Networks
Image recognition and classification is a rapidly growing field in the area of machine learning. In particular, object recognition is a key feature of image classificatio...
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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...
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...
Data Science Jargon Explained to the Layman
This article was written by Enda Ridge. Data Scientists need to communicate without jargon so customers understand, believe and care about their recommendations. Here is...
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...
How the Economics of Data Science is Creating New Sources of Value
There are several technology and business forces in-play that are going to derive and drive new sources of customer, product and operational value. As a set up for this ...
Wheel Of Fortune – Bayesian Inference
PREFACE Previously, I tackled the Gambler’s Ruin problem using conditional probability and difference equations as well as visualising the simulations of the proble...
The Rise of Strategy Analytics
If there was an AI winter, we are clearly in the peak of its summer. I do not know if we will ever build something as Skynet, but we are going to build much simpler thing...
5 Minute Analysis: Simplifying Iowa Liquor Sales
In this 5 Minute Analysis we’ll preprocess, map, and explore complicated sales data for liquor stores in Iowa. Then we’ll extract the relevant latitude and longit...
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...