This mini-tutorial will demonstrate how to get started with K-means clustering in Python using the scikit-learn library and ways to create audience segments that can inform marketing strategies.
We recently shared a survey about the current state of machine learning. In the first of two articles, we’d like to share the results, starting with the technical side of things.
A data science and AI foundation needs to be built up properly before diving in head-first. By knowing these core skills, like math and AI literacy, you’ll start off your career on a high note.
These are 10 common problems data scientists face in regard to MLOps alongside some open-source solutions to address them.
Today, churn is the most common data science problem in the world, because every company wants recurring revenue. But how do you go from a churn model to churn prevention? It is much harder than it sounds.
OpenAI CEO Sam Altman shared his thoughts on how AI could impact capitalism and what the future might look like with AI.
In this article, we’ll discuss what ChatGPT is and how businesses can use it to streamline day-to-day tasks.
The Justice Department recently made a request for information from Tesla regarding its use of artificial intelligence in its self-driving cars.
We have chatbots for almost everything, including AI therapists now. How can AI be used to help with therapy on-demand for those who need help?
The startup that co-created Stable Diffusion, Runway, has broken new ground in the world of generative AI for video with their latest venture, Gen-1.
Between attending in-person or virtually, speaking, volunteering, and more, here are seven ways that you can attend ODSC Europe this June.
Data planning to implementation is the process of using data to develop and deploy a project or initiative. This involves collecting and analyzing data to identify insights and develop solutions, such as predictive models, visualizations, or machine learning algorithms. The final step is to implement and monitor the solution, refining it over time to ensure it delivers the desired outcomes. In short, data planning to implementation helps organizations make informed decisions and take action based on insights obtained from data.
ODSC volunteers are an integral part of the success of each ODSC conference and a perfect extension of our core team and ambassadors to our community! Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event.
ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.