Google Cloud Next Developer Keynote
Watch and celebrate how the innovations all around today are co-created with a developer and partner ecosystem.
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29.9
Cloud HSM and Customer Managed Encryption Keys: Securing Your Data in the Cloud (Cloud Next '19)
Two of the most significant data protection products to have GA'ed over the last year are Cloud HSM and Customer Managed Encryption Keys.
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71.4
Best Practices for Storage Classes, Reliability, Performance, and Scalability (Cloud Next '19)
You have data and you serve applications, systems, or people who access it.
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67.3
Neural networks and deep learning #AI #ML
Neural networks? Deep learning? Deep neural networks? What do these terms mean, and how are they different?
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9.1
Cloud Endpoints quickstart
Wanting to deploy your API, but don’t know how to quite do this? In this video, we’ll show you how to use Cloud Endpoints to deploy, test and manage your API’s.
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Set Up, Run and Update Scalable and Highly Available Deployments (Cloud Next '18)
In this session, you will learn how to reduce manual effort in deploying and maintaining software on groups of VM instances with help of Managed Instance Groups.
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51.4
Building and managing APIs for serverless with Google Cloud
Serverless APIs enable developers and enterprises to scale data and services out of the box without the burden of managing infrastructure issues.
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Metadata management
Metadata on Kubeflow → goo.gle/2YNg6md You’re looking for ways to improve your machine learning workflow performance, efficiency, and accuracy over time and Kubeflow metadata can help you
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35.4
Building the World's Largest Enterprise Data Warehouse with BigQuery (Cloud Next '18)
This talk, by one of the founders of the BigQuery team and a founder and current CTO of Looker, will make the case that BigQuery is not just another Enterprise Data Warehouse.
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26.4
Building data lakes on Google Cloud
Google Cloud provides all the capabilities enterprises need to create and manage data lakes.
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33.1
AI Powered Contact Center Analytics (Cloud Next '18)
In this session, we'll pull back the curtain on how Google AI is used to help discover topics in the sea of historical calls coming to a contact center.
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How to Import a Keras model into TensorFlow.js
How can we get a Keras model to run on TensorFlow.js? One of the best things about TensorFlow.js is that it has the ability to collaborate across a range of platforms, languages, and devices.
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17.5
Building smarter games with machine learning
How can machine learning make video games more interactive?
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14.5
State of containers: a debate with CoreOS, VMware and Google
Watch Alex Polvi of CoreOS, Kit Colbert of VMware and Craig McLuckie of Google debate the state of container tech. Subscribe to the Google Cloud newsletter for more: goo.gl/5iRhst
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28.1
Security and Compliance Monitoring with Forseti (Cloud Next '18)
Learn how to work with Forseti, Google's open source security toolset, to monitor your policies and help keep you secure and compliant.
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52.7
Print Statements in TensorFlow
In this episode of AI Adventures, Yufeng explains how to properly use print statements in your TensorFlow graph. Check out the Medium post "Using tf.Print() in TensorFlow": goo.gl/ZZrq8p tf.
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30.6
What is Human-in-the-Loop?
Supported processors → goo.gle/3GPlNGR Human-in-the-Loop (HITL) plays a critical role in Machine Learning workflows, but what is it?
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27.8
Serving Scikit-learn Models at Scale
Scikit-learn is a great tool for building your models. When it comes time to deploy them to prediction, scale up using Google Cloud ML Engine.
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Measuring and improving Speech-to-Text accuracy
Google Cloud’s Speech-to-Text API provides incredible accuracy out of the box.
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31.1
Local SSD in a minute
Wanting to find a tool that gives you extra storage for your VM instances? In this episode of Cloud Bytes, Jen Person explains what a Local SSD is and the different use cases for this tool.
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33.6
Changing the Game with Cloud featuring Pocket Gems
With millions of smartphones connecting to the cloud, game developers have a global audience with billions of potential players.
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93.2
Connecting to Cloud SQL from Kubernetes
Explore the ins and outs of connecting to Cloud SQL from Google Kubernetes Engine.
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Machine Learning - A New Programming Paradigm
In this video from RedHat Summit 2018, Cassie Kozyrkov demystifies machine learning and AI.
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15.3
Getting started with Cloud CDN
Cloud CDN → goo.gle/3tkyi3I Cloud CDN (Content Delivery Network) uses Google's globally distributed edge points of presence to cache external HTTP(S) load balanced content close to your
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Machine Learning Accelerator with Looker and BigQuery ML
The application's current release is available here today → goo.gle/40xKBJM It will be available in the Marketplace in the near future → goo.gle/3njBmio Looker is Google’s
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29.4
Cloud Armor in a minute
Cloud Armor → goo.gle/3sfv41u Cloud Armor can protect your applications and websites against denial of service and web attacks.
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28.6
Optimizing Voice Commands and IVRs to Speech Analytics (Cloud Next '19)
With cloud-based services, speech recognition is easy to get started with, and it is more accurate and closer to human levels than it’s ever been before.
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Centralized Logging Solution for Google Cloud Platform (Cloud Next '18)
What do configuration changes, stack traces and billing events all have in common? You’ll want them all in your centralized log management system.
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42.3
Google Cloud Data Catalog essentials: Data Discovery
Learn more → goo.gle/3mT0WVU Discovering enterprise data sources is a time-consuming challenge and is usually based on tribal knowledge. Data discovery is now made simple with Data Catalog.
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45.3