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Explainer: Building a high-performing last-mile delivery software

CIO Business Intelligence

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Machine Learning model lifecycle management. Our survey also aligned with recent articles describing the strong demand for data scientists. Deep Learning. Data Platforms.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Similarly, when a user watches a movie from a series, the video hosting application recommends other movies from the series. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high.

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Themes and Conferences per Pacoid, Episode 13

Domino Data Lab

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. 2010s—focused on “pattern recognition” as in deep learning used for computer vision or speech-to-text. Introduction.

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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

In this article we will list 10 things AWS can do for your SaaS company. This article finally gets to the core question we started with: what can AWS do for your SaaS business? AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Let’s just dive right in.

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Ethics Sheet for AI-assisted Comic Book Art Generation

Cloudera

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. Access — who can use it? Data — where does it come from? Indeed the opposite may be true.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights. Python is the most common programming language used in machine learning. Machine learning and deep learning are both subsets of AI.