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24 Evaluation Metrics for Binary Classification (And When to Use Them)
 Not sure which evaluation metric you should choose for your binary classification problem? After reading this blog post you should have a good idea. You will learn about a bunch of common and lesser-known evaluation metrics and charts to understand how... Read more
The Turf War Between Causality and Correlation In Data Science: Which One Is More Important?
Data scientists have tried to differentiate causality from correlation. Last month alone, I’ve seen 20+ posts referencing the catchphrase “correlation is not causality.” What they actually want to say is correlation is not as good as causality. [Related Article: Discovering 135 Nights of Sleep with Data, Anomaly Detection, and... Read more
15+ Resources to Get Started with R
R is the second most sought after language in data science behind Python, so gaining mastery of R is a prerequisite to a thriving career in the field. Whether you’re an experienced developer or a newbie considering a career move, here are some excellent resources so you can get... Read more
Attend ODSC Milan Data Science Community Day January 16
The field of data science isn’t confined to one or two pockets in America – it’s a global revolution that’s changing the landscape of industries throughout the world. That’s why we’re always introducing new meetings and events globally – all in the name of open data. We’re happy to... Read more
How to Get a Data Science Job Without a Degree
The technology and data science industries have been built on magical stories of geniuses who made millions without graduating college. With examples from Zuckerberg to Gates and everyone in between, it seems like a degree is one of the last things you need to become a success in Silicon... Read more
The Most Influential NLP Research of 2019
Natural language processing (NLP) is one of the most important technologies to arise in recent years. Specifically, 2019 has been a big year for NLP with the introduction of the revolutionary BERT language representation model. There are a large variety of underlying tasks and machine learning models powering NLP... Read more
Classifying Rare Events Using Five Machine Learning Techniques
Machine Learning is the crown of Data Science; Supervised Learning is the crown jewel of Machine Learning. Background A couple years ago, Harvard Business Review released an article with the following title “Data Scientist: The Sexiest Job of the 21st Century.” Ever since its release, Data Science or Statistics... Read more
The Best Soft Skill for Data Scientists
“Soft Skills” have become a commonly thrown around phrase when discussing a job search. It’s just vague enough that people don’t have to really commit to saying anything in particular, but it’s specific enough that we feel like we know what they’re saying anyway. In essence, a soft skill... Read more
Deep Learning Frameworks You Need to Know in 2020
Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text based data, you’ll... Read more
Highlighted Machine Learning Research of November 2019
As we enter into the holiday months, research and news tend to slow down. And yet, in November alone we found some really exciting work; here are the best six pieces of machine learning research in November we read. Conclusion-Supplement Answer... Read more