Data Science - Winder.AI Blog

Industrial insight and articles from Winder.AI, focusing on the topic Data Science

5 Productivity Tips for Data Scientists

5 Productivity Tips for Data Scientists

Aug 2020, by janet-miller, in Data Science

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?

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

Aug 2020, by hajar-khizou, in Data Science, MLOps

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

Improving Data Science Strategy at Neste

Aug 2020, by Phil Winder, in Data Science, Case Study, Strategy

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.

COVID-19 Logistic Bayesian Model

COVID-19 Logistic Bayesian Model

Apr 2020, by phil-winder, in Data Science

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

COVID-19 Exponential Bayesian Model

Apr 2020, by phil-winder, in Data Science

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.

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

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

Feb 2020, by Hajar Khizou, in Data Science

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.