Analytics Vidhya
JANUARY 15, 2025
In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.
Analytics Vidhya
NOVEMBER 26, 2024
However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase? appeared first on Analytics Vidhya.
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Analytics Vidhya
NOVEMBER 21, 2024
Imagine generating high-quality 3D models in under 10 seconds—no more long waits or cumbersome processes. 3D Modeling with AI-Driven Speed and Precision appeared first on Analytics Vidhya. Introducing Hunyuan3D-1.0, a game-changer in the world of 3D asset creation.
Analytics Vidhya
DECEMBER 17, 2024
The landscape of AI is evolving rapidly, and language models, particularly those designed for reasoning and problem-solving tasks, are at the heart of this revolution. One such breakthrough in AI is Phi-4, a 14-billion parameter model developed by Microsoft Research.
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Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.
Analytics Vidhya
OCTOBER 14, 2024
Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer.
Analytics Vidhya
MARCH 25, 2025
Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.
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This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.
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How to enable data teams to model and deliver a semantic layer on data in the cloud. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Best practices, pitfalls, practical first steps and models to scale adoption and continuously improve.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Using data models to create a single source of truth. Combining data integration styles. Sign up now!
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For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Want to find out where optimization falls in the broader AI and business analytics spectrum.
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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design.
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