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Create Gradio Demo for Speaker Verification

Analytics Vidhya

The post Create Gradio Demo for Speaker Verification appeared first on Analytics Vidhya. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. Introduction on Speaker Verification Have you ever […].

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ON DEMAND WEBINAR: Data Observability Demo Day


The post ON DEMAND WEBINAR: Data Observability Demo Day first appeared on DataKitchen. That missing piece that connects data system expectations and reality is a ‘Data Journey.’ It is the missing piece of our data systems.

Testing 130

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Dreo Smart Wall Heater Alexa Demo

Data Science 101

See and hear a demo of using Alexa voice commands with the Dreo Smart Wall Heater. Purchase Dreo Smart Wall Heater: [link] As an Amazon Associate I earn from qualifying purchases.

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Philips Norelco 9800 Demo

Data Science 101

The Philips Norelco 9800 shaver is a high-end shaver from Philips Norelco. It has 150,000 cutting actions per minute and it has lights to help you get a better shave. Plus, it even has an app. Philips Norelco 9800 High-end shaver from Philips Norelco.

IT 59
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Webinar On-Demand: 3 Ways to Make Your Operational Execution More Robust With S&OE

Speaker: Sander van Lokven and N.S. Krishnan

How to use scenarios for on the fly decision making (demo). The impact on short term plans when the unexpected happens. 3 ways to increase rigor in your sales and operations execution to deal with the unexpected.

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Braun Series 9 Pro Demo and Features

Data Science 101

Watch a demo of the Braun Series 9 Pro and see all the features. Braun Series 9 Pro Features 4+1 cutting surfaces A special gold cutting surface for longer, difficult hairs Control switch to lock out the head Built-in trimmer Lights to show battery power Pop-off top for easy cleaning Wet/dry The Braun Series 9 Pro gets a very close shave.

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Demo: Deployment and Delivery Options in Dataiku


This blog post features a demo from the 2021 Dataiku Product Days session on deployment and project delivery in Dataiku. If you need a refresher on operationalization to start things off, check out this blog post to be ready for the demo. What do you do once you have built the perfect model? In Dataiku, the answer is simple.

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Supply Chain Network Design: What Are Your Options?

Speaker: Paul van Nierop, Senior Supply Chain Consultant, AIMMS

A short demo of AIMMS Network Design. After the webinar, you will be equipped to decide which technology fits your organization best. This webinar shares: What is supply chain network design? The main network design technologies and their pros, cons, and capabilities.

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Supply Chain Network Design in 30 Minutes

Speaker: Catalina Perez Leiva

Learn how AIMMS Network Design helps you run various scenarios to make informed decisions, all with personal, high-care implementation support and onboarding. AIMMS Network Design features, functions, and technology: Use cases.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

In this short demo, you will: See how to quickly model sets, parameters, variables, and a multitude of constraints that will define your mathematical formulation. Watch this exclusive demo today! Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.

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Best Practices for Accelerating the Sales Process

Think about it: with outbound prospecting, requests from management, scheduled demos, and inbound calls, chaos can quickly work its way into your strategy, deeming a “speed wins” selling mentality downright ineffective. The bottom line is that, in B2B sales, speed is useless without control.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

A live demo of lake formation. In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Javier Ramirez will present: The typical steps for building a data lake. Navigating idle clusters and bottlenecks.