Image identification using a convolutional neural network
This blog explores a typical image identification task using a convolutional (“Deep Learning”) neural network. For this purpose we will use a simple JavaCNN...
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Bill Vorhies Retrospective: Part 2
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
Five Ways Your Business Is At Risk Of Data Loss
Data loss comes in all shapes and sizes, from an accidentally deleted document to a catastrophic server failure that wipes out a critical database. Modern businesses are ...
Machine Learning with C++ – Polynomial Regression on GPU
Hello, this is my second article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression pr...
Data Science: Lifecycle approach to data-driven value creation
Data science had broad applications across many different industries. If we focus on industries that are in the business of buying (some or all) of a company, then tryi...
12 Interesting Reads for Math Geeks
Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting articles, many ...
Crypto-craze,, A Flavor of PrimeNet
In case you’ve missed it, there has been a tremendous number of news stories, social media posts and the like on Bitcoin, Hashing Algorithms, Blockchain, video grap...
Why GDPR will Make Machine Learning not so legal
GDPR & Our Data All of sudden lawyers are busy and got lot of work to do on this new thing called as GDPR. Because 90% of the world’s data was created in the last t...
Seamless Customer Experience for Telecoms: A Practical Approach
In this age of data and convenience, customers across the globe are getting used to great customer experience from numerous companies. Big names such as Google, Apple, Am...
Time-series data mining & applications
A time series is a sequence of data points recorded at specific time points – most often in regular time intervals (seconds, hours, days, months etc.). Every organi...