Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this latest Data Science Centr...
Introduction IoT (Internet of Things) has not quite taken off yet as envisaged – Will the cloud overcome the shortcomings of IoT? I believe that the Cloud is t...
Summary: Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’r...
Summary: Are you wondering about moving up to Automated Machine Learning (AML)? Here are some considerations to help guide you. Are you wondering about moving up to Aut...
Please Join this latest Data Science Central podcast to learn how you can develop machine learning models from an analytics base table and move that model to the edge for...
Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast ...
Presenting Koalas, a new open source project unveiled by Databricks, that brings the simplicity of pandas to the scalability powers of Apache Spark™. Data science with ...
This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning profession...
Artificial intelligence is no longer in the future. It’s right here, right now—and it’s changing our lives. In this latest Data Science Central webinar, we’ll foc...
Summary: Forrester has just released its “New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019” report on leading stand-alone automated machine learn...