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.
The power of deep learning paired with collaborative human intelligence to increase the quality of crop cultivation imagery through super resolution. The Problem The focus in… Read More »Enhancing Satellite Imagery Through Super-Resolution
Abstract Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in… Read More »DriveML: Self-Drive Machine Learning Projects
This article was written by Joyce Xu. With the rise of autonomous vehicles, smart video surveillance, facial detection and various people counting applications, fast and… Read More »Deep Learning for Object Detection: A Comprehensive Review
This article was written by Madhu Sanjeevi (Mady). In the previous story we talked about Linear Regression for solving regression problems in machine learning, This… Read More »Logistic Regression with Math
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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
