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From Good to Great: The 5 Skills You Need to Shine in Data Science
Almost three years ago, I switched from a career in academia to a career in business in a data science role. This used to be somewhat of a rare event, but today it is commonplace: not only is there a shortage of data scientists, but also people change careers... Read more
How to Explain Your ML Models?
Explainability in machine learning (ML) and artificial intelligence (AI) is becoming increasingly important. With the increased demand for explanations and the number of new approaches out there, it could be difficult to know where to start. In this post, we will get hands-on experience in explaining an ML model... Read more
Intro to Vectors and Matrices in Machine Learning
Programming is a great way to get insights about math concepts. You’ll see here tips and tricks to learn math, more specifically linear algebra, from a coding perspective. You’ll see the relationship between Numpy functions and linear algebra abstract concepts. At the end of this mini-tutorial, you’ll know what... Read more
Autograd is PyTorch’s automatic differentiation package. Thanks to it, we don’t need to worry about partial derivatives, chain rule, or anything like it. To illustrate how it works, let’s say we’re trying to fit a simple linear regression with a single feature x, using Mean Squared Error (MSE) as... Read more
Be or Not to be an Anomaly?
An outlier may be defined as an object that is out of ordinary, which differs significantly from the norm. In day to day examples, it could be a baby panda among adult pandas, a champion breaking a world record, or fraud emails in your inbox. Why even bother to... Read more
Continuous Delivery for Machine Learning
Why is bringing machine learning code into production hard? Machine Learning applications are becoming popular in all industries, however, the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as a web service or a mobile application. They are subject to... Read more
Announcing the ODSC Europe 2020 Keynotes
We’re happy to announce the keynote speakers for the upcoming ODSC Europe 2020 Virtual conference – five leaders in applied AI from Europe who will kick off the already expert lineup set to speak at the community-based event for data science practitioners and AI engineers. These academics, innovators, and... Read more
Reportingonsuicide.cisco.com: Interview with Team Member Dr. Annie Ying
Last year, I established Cisco’s Data Science and AI for Good initiative as a channel for Cisconians to give back pro bono, using their professional expertise to help nonprofits make the world a better place through data and analytics. Almost a year later, in collaboration with Save.org, Reportingonsuicide.org, and... Read more
Reportingonsuicide.cisco.com: Interview with Team Member Edgar Murillo
Last year, I established Cisco’s Data Science and AI for Good initiative as a channel for Cisconians to give back pro bono, using their professional expertise to help nonprofits make the world a better place through data and analytics. Almost a year later, in collaboration with Save.org, Reportingonsuicide.org, and... Read more
Data Science: Dare to Start Simple
Imagine that you are the first data scientist in a company, maybe in the industrial field, in one of the old industries or old economy branches. Then, you are a unicorn. Basically, you start data science from scratch: you must introduce, explain, promote, and establish data science. To manage... Read more