Data Science

5 Productivity Tips for Data Scientists

Published

Aug 27, 2020

Author

Janet Miller

Associate Data Science Content Editor

Many articles talk about how professionals can make their workdays extra productive. However, for people like data scientists, whose jobs are extremely demanding, some tips are more valuable than others. For instance, it is important that you analyse how you spend your time. In the same breath, it would be in your best interest to organise your time into blocks, as these can help you focus on tasks – one at a time and without any interruption – and automate any process that you repeat.

Unit Testing Data: What is it and how do you do it?

Published

Aug 26, 2020

Author

Hajar Khizou

Associate Data Science Content Editor

Data Testing plays an indispensable role in data projects. When businesses fail to test their data, it becomes difficult to understand the error and where it occurred, which makes solving the problem even harder. If data testing is performed correctly, it will improve business decisions, minimize losses, and increase revenues. This article presents common questions about unit testing raw data. If your question isn’t listed, please contact us, and we will be happy to help.

Improving Data Science Strategy at Neste

Published

Aug 7, 2020

Author

Dr. Phil Winder

CEO

Winder.AI helped Neste develop their data science strategy to nudge their data scientists to produce more secure, more robust, production ready products. The results of this work were: A unified company-wide data science strategy Simplified product development - “just follow the process” More robust, more secure products Decreased to-market time Our Client Neste is an energy company that focuses on renewables. The efficiency and optimization savings that machine learning, artificial intelligence and data science can provide play a key role in their strategy.

How We Work With Cloud-Native Data Science: An Interview With Phil Winder

Published

Jun 29, 2020

Author

Dr. Phil Winder

CEO

COVID-19 Hierarchical Bayesian Logistic Model with pymc3

Published

Apr 14, 2020

Author

Dr. Phil Winder

CEO

I have two outstanding tasks from the previous notebooks. The first is that I haven’t iterated over all countries.

COVID-19 Logistic Bayesian Model

Published

Apr 8, 2020

Author

Dr. Phil Winder

CEO

This post builds upon the exponential model created in a previous post. The main issue was that there an exponential model does not include a limit. A logistic model introduces this limit. I also perform some very basic backtesting and future prediction.

COVID-19 Exponential Bayesian Model Backtesting

Published

Apr 8, 2020

Author

Dr. Phil Winder

CEO

This notebook builds upon the exponential bayesian model to implement simple backtesting. The idea here is to hold out data, train a model, and see how well the model is able to predict those results.

COVID-19 Exponential Bayesian Model

Published

Apr 8, 2020

Author

Dr. Phil Winder

CEO

The purposes of this notebook is to provide initial experience with the pymc3 library for the purpose of modeling and forecasting COVID-19 virus summary statistics. This model is very simple, and therefore not very accurate, but serves as a good introduction to the topic.

COVID-19 Response: Athena Project and an Introduction Bayesian Analysis

Published

Apr 8, 2020

Author

Dr. Phil Winder

CEO

Over the next couple of weeks I will be using Bayesian analysis to model the spread of COVID-19. Inspired by Alex Stage who started the Athena Project, I have committed Winder.AI to helping Athena reach its goals.

How to Start a Data Science Project With No or Little Data

Published

Feb 26, 2020

Author

Hajar Khizou

Associate Data Science Content Editor

Data is an essential asset of modern business. It empowers companies by surfacing unique insights about their customers and creates actionable products. The more data you possess, the better you meet and exceed your customers’ expectations.