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Interoperable AI: High-Performance Inferencing of ML and DNN Models
TensorFlow? PyTorch? Keras? There are many popular frameworks to choose from when working with deep learning and machine learning models, each with its own pros and cons for practical usability in product development or research. Once you decide which to use to train your model, you... Read more
5 DevOps Challenges To Overcome To Gain Productivity
Editor’s Note: Is your business ready to implement DevOps? Learn more at ODSC West on how you can do just that. DevOps brought the development community to the agile era where multiple teams can work in a collaborative environment sharing their skills, knowledge and development responsibilities. As... Read more
10 Startups Killing the AI Game
There are some truly weird things happening in AI right now, but we’re also seeing some innovating solutions emerging as humans learn how to deploy AI bigger and better. These startups know that AI has the potential to solve some of the most vexing issues in... Read more
Here’s Why You Aren’t Getting a Job in Data Science
We constantly hear about the rising demand for data science skills coupled with the shortage of data scientists to fill this growing need. This disparity seems like a true opportunity for those seeking career positions in the field, yet stories abound describing how tough it is... Read more
10 Best Data Science Platforms
A data science platform can change the way you work. It’s more than just a tool, it’s a way to wrangle data and turn every member of your team into a high performing unit, capable of pivoting and scaling without missing a beat. The right one... Read more
Getting to Know Keras for New Data Scientists
For many new data scientists transitioning into AI and deep learning, the Keras framework is an efficient tool. Keras is a powerful and easy-to-use Python library for developing and evaluating deep learning models. In this article, we’ll lay out the welcome mat to the framework. You should... Read more
Comparing Features of 4 Popular Machine Learning Platforms
Machine learning, the term and the technology, has been of paramount importance and relevance in the context of computational applications for years. Arthur Samuel first came up with the word “machine learning” in 1957. Machine learning is basically a part of artificial intelligence that evolves through... Read more
Building a Predictive Analytics Solution with Azure ML  – Fidan Boylu & Syed Fahad Allam Shah ODSC Boston 2015
Building a Predictive Analytics Solution with Azure ML from odsc Create and operationalize a predictive model using Microsoft Azure Machine Learning. –Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation... Read more