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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. Manifold Learning : t-Distributed Stochastic Neighbor Embedding ( t-SNE ) (see Figure 3).

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. PyTorch, the Python library that has come to dominate programming in machine learning and AI, grew 25%. SQL Server also showed a 5.3%

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

eCommerce share of total retail sales worldwide from 2015 to 2021. Forecasting demand with machine learning in Walmart. What’s more, these systems don’t need to be explicitly programmed as machine learning models learn from data. This figure is projected to reach 17.5 percent in 2021.