Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and… Read More »The Important Components of Augmented Analytics
By 2035 AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion. Accenture The words Artificial Intelligence… Read More »Difference Between Algorithm and Artificial Intelligence
Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and… Read More »Model Experiments, Tracking and Registration using MLflow on Databricks
The development of machine learning and deep learning solutions typically follows a workflow that starts from the problem definition and goes through the crucial steps… Read More »Tracking Experiments to Improve AI Accuracy
Spend any time at all in the machine learning space, and pretty soon you will encounter the term “feature”. It’s a term that may seem… Read More »Making Sense of Data Features
Introduction Andrew Ng is a key reference point for me in understanding AI. Andrew Ng is always easy to understand especially for new… Read More »Model-centric to Data-centric AI – Am I Missing Something?
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work… Read More »The Machine Learning Process in 7 Steps
I read a paper from ETSI last week which talks of protecting Artificial Intelligence models against threats and attacks. This topic is of interest to… Read More »Protecting Artificial Intelligence models against threats and attacks
https://algorithmsbook.com/ MIT press provides another excellent book in creative commons. Algorithms for decision making: free download book I plan to buy it and I recommend… Read More »Algorithms for decision making: excellent free download book from MIT
Machine learning is Competence without Comprehension as famously noted by Dan Dennett, the pre-eminent philosopher of our times. There are two aspects to Machine Learning… Read More »ML and Causality – Why?
