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Find Your Next AI Solution at the ODSC Virtual AI Expo
This year, we’re making our expo hall completely virtual in the Virtual AI Expo this April 16th. The Virtual AI Expo will feature everything you normally see in an expo hall, such as learning about new AI solutions from vendors, seeing demo talks, and networking with other decision-makers +... Read more
Why Attend the ODSC Virtual Career Expo April 15th
Career fairs that cater to one specific field are excellent for networking. You can build a list of companies and contacts, helping make decisions easier. You also gain traction for when spots open up at your ideal companies by getting on their radar. As part of our first-ever ODSC... Read more
Building an Effective Data Science Portfolio For Your Business
Businesses that want effective data science strategies must first build effective data science roadmaps. Kerstin Frailey, formerly of Metis and now Numerator, uses her expertise in for-profit, non-profit, and government data science to outline strategies for building that essential piece of applied data science in her ODSC East 2019... Read more
The Real AI Crisis
Hui is a speaker for the ODSC Global Virtual Conference this April 14-17! Be sure to watch his talk, “Accelerating the Enterprise Uptake of AI,” there! Some thought leaders, such as Elon Musk and the late Stephen Hawking, have repeatedly warned about the potential danger of artificial intelligence and... Read more
Who Cares About Data Privacy?
In this  article, which is a 7-minute read, I will: explain why I am in data privacy, share some practical tips on how I recommend to manage privacy in a complex environment, and give an outlook on the legal topics which we will cover at our upcoming ODSC talk,... Read more
The goal of a data analysis pipeline in Python is to allow you to transform data from one state to another through a set of repeatable, and ideally scalable, steps. Problems for which I have used data analysis pipelines in Python include: Processing financial / stock market data, including... Read more
How to Start a Machine Learning Project in a Company
Leandro is a speaker for ODSC East 2020. Be sure to check out his talk, “How to Apply Machine Learning in Your Company Using Design Thinking and Canvas,” there! We are living in an unpredictable moment in human history, being able to teach computers to “think” and to make... Read more
Novelty in Machine Learning, or “What Gets Me Excited Every Day About Data Science”
Note: Kirk will present two training sessions at ODSC East 2020. One will focus on “Solving the Data Scientist’s Dilemma: the Cold-Start Problem with 10+ Machine Learning Examples” and the other will look at “Adapting Machine Learning Algorithms to Novel Use Cases.” I have always appreciated the unusual, unexpected,... Read more
Variational Auto-Encoders for Customer Insight
Github repository: VAEs-in-Economics Neural networks are sometimes perceived as super complicated. They’re not. The most attractive application, in my opinion, of neural networks for small and medium-sized businesses, is in customer segmentation, and in my upcoming workshop at ODSC East 2020, “Variational Auto-Encoders for Customer Insight,” I will show... Read more
Tutorial: Accelerate and Productionize ML Model Inferencing Using Open-Source Tools
Faith and Prabhat are speakers for ODSC East 2020 this April. Be sure to check out their talk, “From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge with ONNX Runtime,” there! You’ve finally got that perfect trained model for your data set. Now what? To... Read more