Using Ethereum Logic Apps to Publish Ledger Data to Azure Search
In this episode of Block Talk, learn how to use the Ethereum Logic App connector to push contract data into an Azure Search index. This makes contract data available to a wide range of Enterprise applications via simple search queries. Additional details and sample code are available on GitHub Follow @CH9 Follow @MSFTBlockchain
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How To Get Your Data Scientist Career Started
Given the rise of data science and machine learning as an in-demand career, many people are wondering how to get started as a Data Scientist. Forbes explores how to get started in this article. Many people are looking to break into data science, from undergraduates to career changers, have asked me how I’ve attained my […]
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Can TensorFlow 2.0 Make You Money?
In this follow up video to “How To Build An AI Startup With PyTorch,” the great Siraj Raval explores how to make money with TensorFlow 2.0. From the video description: I’ve built an app called NeuralFund that uses Tensorflow 2.0 to make automated investment decisions. I used Tensorflow 2.0 to train a transformer network on […]
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Azure Monitor Action Groups
Azure Monitor action groups enable you to define a list of actions to execute when an alert is triggered. In this episode, we demonstrate how to configure a Service Health alert to use an action group. Create and manage action groups in the Azure portal Service Health Azure Monitor overview Azure Monitor docs Create a […]
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How Big Data Can Help Fight Deforestation
As big data, cloud computing and artificial intelligence are becoming a part of our every day lives and various industries, there is increasing evidence of how these technologies can contribute towards solving globally pressing issues such as deforestation. Here’s an interesting article looking at that very problem. Advanced technologies such as AI and big data […]
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Great Support Vector Machine Explanation
Here’s a great explainer video that walks through the Support Vector Machine (SVM) algorithm. From the video description: A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples. To understand SVM’s […]
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The Rise of Self-Driving Trucks
Here’s an interesting video from CNBC on the rise (and economic impact) of self-driving trucks. They make many of the same points that I did in this DataPoint episode.
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