When Aggregates Fail
In general, any expression of performance that applies to a department can, if the data system is configured properly, be stated in relation to individual workers. For ...
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Book: Artificial Intelligence with Python
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. About This Book Step into the amazing world of inte...
Difficult Probability Problem: Distribution of Digits in Rogue Systems
I recently posted a table summarizing probabilistic properties of digits in various number representation systems, see here. The topic is already rather difficult for w...
15 Great Articles About Decision Trees
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...
Foolproof R package Install
The number of R packages associated cool new tricks available continues to grow every month. To understand the current state of R packages on CRAN, I ran some code pro...
Text Classification: Applications and Use Cases
Text analysis, as a whole, is an emerging field of study. Fields such as Marketing, Product Management, Academia, and Governance are already leveraging the process o...
Building a Data Quality Strategy
In this article I explore some of the key concepts of data quality management and how to build a strategy for continuous improvement. I won’t be covering every possible...
A new kind of pooling layer for faster and sharper convergence
This article was written by Sahil Singla. Introduction: In the max-pooling layer (used in almost all state of the art vision tasks and even some NLP tasks) you throw away...
Selected Recent Articles from Top DSC Contributors – Part 6
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Off the Beaten Path – HTM-based Strong AI Beats RNNs and CNNs at Prediction and Anomaly Detection
Summary: This is the second in our “Off the Beaten Path” series looking at innovators in machine learning who have elected strategies and methods outside of the mains...