NZCS Cloud Computing Presentation

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AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (Decem...

Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.

Build, train, and deploy ML models at scale.pdf

Building smart applications with AWS AI services (October 2019)

Speed up your Machine Learning workflows with build-in algorithms

Introduction to Machine learning and Deep Learning

Nishan Aryal

Amazon2009 04 22 Amsterdam

arnoud.wijnands

AWS Cloud Kata 2013 | Singapore - Welcome and Opening Remarks, Pieter Kemps

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Ahmed El Refaey

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Aws training banglore 12

Aws training banglore 4

AWS Machine Learning Week at the San Francisco Loft: Build, Train, and Deploy ML Models Using SageMaker Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.

Aws cloud computing

Santosh Pawar

AWS Machine Learning Week SF: Build, Train & Deploy ML Models Using SageMaker

Supriya reddy Azure Certification PPT

SUPRIYAT9

AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)

As part of Vodafone Hutchison Australia (VHA)’s company-wide mission to win back customers, the VHA Digital Products division, with the help of DiUS, built a strategic internal agile development and innovation capability. By leveraging AWS, VHA now has the powerful ability to be more responsive, to experiment, fail-fast and in turn, to deliver an improved customer experience across all digital touchpoints. We will share VHA’s journey so far by looking at the business objectives and diving into how people, process and technology made it happen: Making a business case for AWS Working within a complex technology landscape including legacy systems, COTS products as well as custom-built systems The role AWS played in achieving change Enabling daily deployments using Continuous Delivery and other practices and tools What's next on VHA's agility roadmap Presenters: Andy McCarthy, Digital Technology Manager, Vodafone Hutchison Australia, & Elliot Murry, Senior Consultant, DiUS

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Build, train, and deploy ML models at scale.pdf

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Slides from my talk at ConFoo Montreal, February 2016. A presentation on how to apply configuration management (CM) principles for your various environments, to control changes made to them. You apply CM on your code, why not on your environments content? This presentation will present the infrastructure as code principles using Chef and/or Ansible. Topics discussed include Continuous Integration, Continuous Delivery/Deployment principles, Infrastructure As Code and DevOps.

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Now that your organization has implemented an Office 365 Intranet, what’s next? In this session we will respond to the ever-increasing demand for powerful and integrated solutions that support users’ needs across their digital workplace and beyond. Leveraging Office 365 means that you have access to entirely new ways of building solutions faster than ever before. The best part? It’s not just IT that can build these great solutions! What you’ll learn: Join Richard Harbridge as we explore real world examples and best practices for how organizations can deliver more value with integrated solutions. We will discuss Bots, Microsoft Flow, PowerApps, Microsoft Forms, Integrations, Office 365 development, Industry innovation, and more!

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The Software Development Life Cycle is part of everyone’s life today, from developers to end users. For the same reason, DevOps and Cloud Computing solution providers are exploring the soundbites concerning serverless computing. As serverless computing is evolving rapidly, it’s evident that people unaware of the technology provide a misguided assumption. DevOps and Cloud Computing are influencing the world of tech globally. Several studies have been published on the internet that shed light on familiar and outdated misconceptions. Given that these misconceptions are quite a buzz in the realm of development, it does create myths related to technologies that don’t exist. However, these existing myths suggest serverless computing is fresh out of the oven. Learn more: https://cloudzenix.com/5-serverless-computing-misconceptions-to-avoid-in-2023/

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Join us to see how Public-sector organizations and AWS Partners are combining Smart Devices and Artificial Intelligence to create flexible, secure and cost-effective solutions. Applying machine learning models to live video/audio, cameras can be transformed into flexible IoT devices that perform critical functions around public safety, security, property management, smart parking & environmental management. Learn how these solutions are architected using AWS services such as AWS IoT Core, AWS GreenGrass, AWS DeepLens, Amazon SageMaker and Amazon Alexa.

Machine Learning at the Edge