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Image Compression In 10 Lines of R Code
Principal Component Analysis (PCA) is a powerful Machine Learning tool. As an unsupervised learning technique, it excels in dimension reduction and feature extraction However, do you know we can use PCA to compress images? In this post, I’ll walk through the process and explain how PCA can compress images... Read more
Practical Ways to Integrate Data Science Into Your Organization
This ODSC West 2018 non-technical talk “Practical Data Science,” presented by Michael Galvin, Executive Director of Data Science Corporate Training for Metis, discusses the practical steps that need to be taken to successfully integrate data science into an organization, as well as some struggles and pitfalls that commonly occur... Read more
Replicating a Linear Model
For a few of my commercial projects I have been in the seemingly strange place being asked to port a linear model from one data science system to another. Now I try to emphasize that it is better going forward to port procedures and build new models with training... Read more
How to Become a Data Engineer
Data science is splitting up, and that’s going to work in your favor. As companies and organizations begin to understand the complexity of working with big data, “data science” is losing its catch-all definition. One aspect of data science that continues to grow in popularity is data engineering. If... Read more
A Quick Look Into Bootstrapping
Executive Summary As a resampling method, bootstrapping allows us to generate statistical inferences about the population from a single sample. Learn to bootstrap in R. Bootstrapping lies the foundation for several machine learning methods (e.g., Bagging. I’ll explain Bagging in a follow-up post). [Related Article: Discovering 135 Nights of... Read more
The Impact of AI on Medical Education
Is medical education ready to make a move from the information age to the age of AI? Well, it may not, but doing so will be a critical requirement for improving the outcomes of students and advancing the field. As we have seen previously with electronic health records, noteworthy... Read more
The Un-Sexy Data Science: Data Cleaning
The Data Science profession, while often misunderstood (even by the field itself — a topic for another post possibly), was famously labeled the “sexiest job of the 21st century” by the Harvard Business Review in October 2012. Since that time, businesses, education providers and potential talent have all been... Read more
Generate Websites with Deep Learning
When it comes to software development, there are two types; one is the back-end the other is the front-end development. As the name suggests, back end development is the development that goes on behind the scenes; it includes everything which the user is not able to see, while the... Read more
Implementing a Kernel Principal Component Analysis in Python
In this article, we discuss implementing a kernel Principal Component Analysis in Python, with a few examples.  Many machine learning algorithms make assumptions about the linear separability of the input data. The perceptron even requires perfectly linearly separable training data to converge. Other algorithms that we have covered so... Read more
Evading Real-Time Person Detectors by Adversarial T-shirt
Clothing has often become a source of protection against privacy. We see it in celebrities all the time, from head-to-toe coverage, to recent developments in paparazzi-resistant gear, we’re constantly pushing our clothing to do more for us. And with so much fear surrounding face-tracking software, many have begun wondering... Read more