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.
Machine Learning is a diverse field covering a wide territory and has impacted many verticals. It is able to tackle tasks in language and image processing,… Read More »18 Handy Resources for Machine Learning Practitioners
What is a Cheat Sheet ? Wikipedia defines cheat sheets as a concise set of notes used for quick reference. Now the word that needs to be… Read More »No ML algorithms cheat sheet, please
Summary: Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it. However to be objective and without… Read More »Targeting Hate Speech
An error correcting code (ECC) is a way of controlling errors in data that is being transmitted over an unreliable or noisy communication channel. In… Read More »Information Theory (Turbo Codes) & Bayesian Networks
Introduction to SageMaker I’ve been working with AWS SageMaker for a while now and have enjoyed great success. Creating and tuning models, architecting pipelines to… Read More »Deploy Your First Serverless AWS ML Solution Fast
Summary: Explaining data science to a non-data scientist isn’t as easy as it sounds. You may know a lot about math, tools, techniques, data, and… Read More »Explaining Data Science to a Non-Data Scientist
© 2020 by Radna Intellectual Ventures, LLC. “Artificial Intelligence began with an ancient wish to forge the Gods.” In the singular words of Pamela McCorduck, Artificial… Read More »The VC's Guide to Machine Learning
That’s correct. 1 server and 10 lines of code are all you need to search among 1 billion images in a few hundred milliseconds. Its… Read More »The Easiest Way to Search Among 1 Billion Image Vectors And Why Vector Search Is Important?
When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building… Read More »Machine Learning for Frontend Development: The Road to Future
Fundamentals of PyTorch – Introduction Since it was introduced by the Facebook AI Research (FAIR) team, back in early 2017, PyTorch has become a highly popular… Read More »The Most Important Fundamentals of PyTorch you Should Know
