Remove combination-products
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Best Python Tricks in Jupyter Notebook

Analytics Vidhya

When it is combined with Jupyter Notebook, it offers interactive experimentation, documentation of code and data. This article discusses Python tricks in Jupyter Notebook to enhance coding experience, productivity, and understanding. Introduction Python is a popular programming language for its simplicity and readability.

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Finetune and Deploy Custom PaLiGemma Model for your Image Tasks

Analytics Vidhya

Introduction PaLiGemma is an open-source state-of-the-art model released alongside other products at Google I/O 2024 and combines two other models developed by Google.

Analytics 225
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The Solution to Data in Motion Is to Just Stop

insideBIGDATA

In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses?

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Unexpected Tools in the Databricks Marketplace to Supercharge Manufacturing Supply Chains

databricks

“Supply chains compete, not companies” — Martin Christopher No two supply chains are identical - the unique combination of products, industries, and geographic locat.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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Towards a World-English Language Model

Machine Learning Research at Apple

Combining NNLMs for one or more of the categories could be one way to improve scalability. In this work, we combine regional variants of English by building a "World English" NNLM.

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10 Stages of the software development lifecycle for startups

Dataconomy

Stages of the Development Process When developing a new product, it is necessary to be systematic to ensure that the product life cycle flows smoothly from inception to product release. This requires a clear product concept describing the proposed business plan, direct and indirect competitors, as well as monetization strategy.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. This framework explains how application enhancements can extend your product offerings. How much value could you add? Brought to you by Logi Analytics.