SVM in Practice
Many Machine Learning articles and papers describe the wonders of the Support Vector Machine (SVM) algorithm. Nevertheless, when using it on real data trying to obtain ...
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Our Berkeley Data Science Capstone Project: Rap Analysis
Guest blog post by Tony Abraham, Nikhita Koul, Joe Morales. A data science exploration of rap lyrics and what it takes to make it onto the billboard charts. Originally ...
Statistical Significance and Its Part in Science Downfalls
In Discover Magazine this month is a really frightening article about the failure of psychologists to reproduce the results of 100 high profile psychology experiments pub...
The Internet of Things is Really Only About One Thing
I have to admit, I love the swell of Internet of Things devices and technology we’re seeing right now. Smart alarm clocks that can wake you without waking your bedma...
From DevOps to DataOps
Written by Andy Palmer, CEO of Tamr Why It’s Time to Embrace “DataOps” as a New Discipline Over the past 10 years, many of us in technology companies have experienc...
The Data-Driven Weekly #1.6
Right on cue, this past week heralded in an announcement of OpenAI, a new non-profit started by a number of tech luminaries to spearhead AI research that is publicly acce...
5 Data Science Leaders Share their Predictions for 2016 and Beyond
First, we list the predictions from our data scientist in residence. Then we provide predictions from leading data scientists. We invite you to add your own predictions i...
As a Data Science Blogger Does Your Opinion Count?
Summary: If you want to make yourself heard as an author in data science, consider Google Author Rank. OK, if you blog you are by definition concerned about two things, 1...
Architecture of Data Science Projects
In this article, I summarize the components of any data science / machine learning / statistical project, as well as the cross-dependencies between these components. This...
24 Uses of Statistical Modeling (Part I)
Here we discuss general applications of statistical models, whether they arise from data science, operations research, engineering, machine learning or statistics. We do ...