Page 33How to Use Machine Learning for Sentiment Analysis with Word Embeddings
Stakeholder Analysis: Another Key Piece of Product Inception
In this second installment of the Product Inception Series, we explore the various techniques we use to conduct a thorough Stakeholder Analysis, including Stakeholder Mapping and Trade-Off Sliders.
The Product Vision Board: The First Step to Discovering a Successful Software Product
We explore the Product Vision Board. Read on to find out more about defining your product vision and starting off the product inception phase on the right foot.
Hello sophilabs, welcome to NYC!
We are thrilled to announce that sophilabs has expanded to Brooklyn, NY! Our new office is located in a popular co-working space in the DUMBO neighborhood of Brooklyn and is home base to a group of developers.
Building Blocks of an Agile Transformation: Develop & Execute a Framework of Small, Continuous Improvements
It can be tricky to decide on which processes and practices could better help an organization to stay on-track and thrive through its envisioned growth roadmap.
Node.js Pull Request Merge Prediction Using Machine Learning
This post explains a simple use of Machine Learning (ML) to predict if it is possible to accurately predict whether a Pull Request (PR) will be accepted when it is created.
Django Girls Montevideo: Working to Close the Gender Gap in Software Development
Women are scarce in engineering, in fact, 97% of the resumes we receive come from men. In launching Django Girls Montevideo, we strive to do our part to contribute to gender equality.