Python machine learning libraries
Introduction This blog is a part of the learn machine learning coding basics in a weekend . We recommend the book Python Data Science Handbook by Jake VanderPlas There ar...
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Tutorial: Statistical Tests of Hypothesis
This article is a solid introduction to statistical testing, for beginners, as well as a reference for practitioners. It includes numerous examples as well as illustratio...
How to Stabilize Data Systems, to Avoid Decay in Model Performance
Here we describe a simple methodology to produce predictive scores that are consistent over time and compatible across various clients, to allow for meaningful comparison...
Should you Add your Coursera, Udacity, or DataCamp Training to your Resume?
It all depends on the classes that you attended. Some are worth listing, some are best not to mention. Here I review of few of these data science curricula, and the impre...
And Monty Hall Went Bayesian…
In practice, the Data Scientist wants to know which formula they will write in their Excel sheet when they enter all the data available into it: Bayes’ or usual? The an...
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...
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...