by Robert Chang – 12 min read
In A Beginner’s Guide to Data Engineering – Part I, I explained that an organization’s analytics capability is built layers upon layers. From collecting raw data and building data warehouses to applying Machine Learning, we saw why data engineering plays a critical role in all of these areas.
Hiring Data Scientists Step 1: Stop Looking for Data Scientists.
by Jesse Moore – 6 min read
We are looking for someone to fill an upcoming gap in our business model. We are not exactly sure what you will be doing, but we are sure that our shareholders will love the idea that we have Data Scientists.
Mapping the Real World
by Pratyush More – 5 min read
We all think we know how the world looks. But do our maps of the world always reflect what is most important? Much has been said, for instance, about the astonishing economic growth witnessed by China over the past few decades.
5 Quick and Easy Data Visualizations in Python with Code
by George Seif – 7 min read
Data Visualization is a big part of a data scientist’s jobs. In the early stages of a project, you’ll often be doing an Exploratory Data Analysis (EDA) to gain some insights into your data.
Demystifying Quantum Gates – One Qubit At A Time
by Jason Roell – 11 min read
If you want to get into quantum computing, there’s no way around it: you will have to master the cloudy concept of the quantum gate. Like everything in quantum computing, not to mention quantum mechanics, quantum gates are shrouded in an unfamiliar fog of jargon and matrix mathematics that reflects the quantum mystery.
The two sides of Getting a Job as a Data Scientist
by Favio Vázquez – 16 min read
So you are a Data Scientist, or you think you are getting closer to be one, and you started looking for a job in the area. My first suggestion: be patient! This is not an easy task, and maybe you will apply to hundreds of job before getting one.
Unintended Consequences and Goodhart’s Law
by William Koehrsen – 4 min read
In order to increase revenue, the manager of a customer service call center starts a new policy: rather than being paid an hourly wage, every employee is compensated solely based on the number of calls they make. After the first week, the experiment seems like a resounding success: the call center is processing twice the number of calls per day!
Machine Learning From Scratch: Part 2
by Sebastian Kwiatkowski – 10 min read
Thanks so much for your interest and positive feedback! I am delighted to see that many of you find the material useful. This series is gradually developing into a comprehensive and self-contained tutorial on the most important topics in applied machine learning.
How to be a bad data scientist!
by Pascal Potvin – 4 min read
So, you want to be a data scientist, or better you think you are now a data scientist and you are ready for your first job… Well make sure you are not one of the stereotypes of "wanna be data scientists" I list below, otherwise you may well go through numerous rejection in interviews. I do not claim it is a complete list of all the stereotypes out there.
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