Images Powered by Shutterstock
Integrating the Data Science and App Development Cycles

Integrating the Data Science and App Development Cycles

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode). Then, we hand off the resultant model to an app developer who

9 Best Practices Every Data Science Leader Should Follow | 7wData

9 Best Practices Every Data Science Leader Should Follow | 7wData

Being a data scientist is hard. In addition to the combination of advanced mathematics and coding skills required to do the job, it’s a newer role for many organizations, so data scientists are called upon to navigate corporate landscapes, source the right

How to Manage your Data Science Project: An Ultimate Guide

How to Manage your Data Science Project: An Ultimate Guide

A growing number of data science projects has led to an increase in the demand for data science managers.It is natural to think that any project manager can do the job or that a good senior data scientist will make an excellent data science manager. But this

Bias in AI and Machine Learning: Sources and Solutions | 7wData

Bias in AI and Machine Learning: Sources and Solutions | 7wData

“Bias in AI” has long been a critical area of research and concern in machine learning circles and has grown in awareness among general consumer audiences over the past couple of years as knowledge of AI has grown. It’s a term that describes situations

Why Isn’t New Technology Making Us More Productive?

Why Isn’t New Technology Making Us More Productive?

Skip to content Skip to site index Why Isn’t New Technology Making Us More Productive? Innovations like cloud computing and artificial intelligence are hailed as engines of a coming productivity revival. But a broad payoff across the economy has been

Exponential smoothing vs Moving average for time series forecasting

Exponential smoothing vs Moving average for time series forecasting

Time series analysis and forecasting are important concepts in data science that have a variety of applications. There are different techniques used to make forecasting with time-series data. The exponential smoothing and moving average are the two basic and

Developing React Applications in RStudio Workbench | R-bloggers

Developing React Applications in RStudio Workbench | R-bloggers

RStudio Workbench provides a development environment for R, Python, and many other languages. When developing a performant web application you may progress from Shiny towards tools like Plumber. This allows you to continue development of the true application

10 Steps to Creating a Data-Driven Culture

10 Steps to Creating a Data-Driven Culture

For many companies, a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our work in a range of industries indicates that the biggest obstacles to creating data-based businesses

Explained: How to tell if artificial intelligence is working the way we want it to

Explained: How to tell if artificial intelligence is working the way we want it to

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on