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What are model governance and model operations?

O'Reilly on Data

In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Modeling 257
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Deep automation in machine learning

O'Reilly on Data

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. If humans are no longer needed to write enterprise applications, what do we do?

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The cloud infrastructure that’s redefining management at Guzmán Minerals

CIO Business Intelligence

The company is nowin the process of improving digitalization in the factory, which includes automation processes and adoption of technologies to optimize operations. In the factory area, the company is in the final stages of configuring and testing a CMMS and MRP to improve planning and maintenance.

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What Are ChatGPT and Its Friends?

O'Reilly on Data

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. It has helped to write a book.

IT 348
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Create Modern SQL Dashboards With Professional Tools & Software

datapine

While there are other data analysis methods you can use to analyze and optimize your results, a SQL data dashboard is based on a relational database that is updated in real-time, therefore you don’t need to pull reports that are set in the past. Your Chance: Want to test a SQL dashboard software completely for free?

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Another increasing factor in the future of business intelligence is testing AI in a duel. Prescriptive analytics can help you optimize scheduling, production, inventory, and supply chain design to deliver what your customers want in the most optimized way. 5) Collaborative Business Intelligence. BN by 2023, with a CAGR of 13.6%

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Trending Toward Concept Building – A Review of Model Interpretability for Deep Neural Networks

Domino Data Lab

Lately, however, there is very exciting research emerging around building concepts from first principles with the goal of optimizing the higher layers to be human-readable. Instead of optimizing for pure accuracy, the network is constructed in a way that focuses on strong definitions of high-level concepts. Image source: [link].

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