By Dmitry Borisenko – 17 min read
In this post, I cover the somewhat overlooked topic of ensemble optimization. I begin with a brief overview of some common ensemble techniques and outline their weaknesses. I then introduce a simple ensemble optimization algorithm and demonstrate how to apply it to build ensembles of neural networks with Python and PyTorch.
Create Beautiful Interactive Visualisations in Python
By Rebecca Vickery – 5 min read
Plotly is an interactive Python library that provides a wide range of visualisations accessible through a simple interface. There are many different visualisation libraries available in Python. What sets Plotly apart are the interactivity of its plots, the richness and variety of visualisations, its relative simplicity, compared to say Matplotlib and the ability to deploy visualisations as web apps using the Dash module.
Moving AI to the Real World
By Alon Bochman – 9 min read
If you fit one of these profiles, this article is for you:
● You are a data science manager. You’d like to improve your team’s productivity with some best practices.
● You are a data scientist. You’d like to learn what happens downstream: How your model turns into a product.
Customer Preferences in the Age of the Platform Business with the help of AI
By Jan Teichmann – 9 min read
Marketing and product teams are tasked with understanding customers. To do so, they look at customer preferences – motivations, expectations and inclinations – which in combination with customer needs drive their purchasing decisions.
What is Data Science?
By Jeff Hale – 10 min read
What is data science? Is a simple question, but the answers are often confusing. I regularly hear folks say that data science is nothing more than statistics dressed up in fancy clothes. Data science has jokingly been called statistics on a Mac. And a data scientist has been called a data analyst who lives in California.
