Tag: Google
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Getting started with distributed TensorFlow on GCP
Posted on December 22, 2020, Level beginner Resource Length medium
For many in the world of data science, distributed training can seem a daunting task. In addition to building and thoughtfully evaluating a high-quality ML model, you have to be aware of how to optimize your model for specific hardware and manage infrastructure. By Nikita Namjoshi.
Tags big-data data-science software gcp google
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We burnt $72k testing Firebase + Cloud Run and almost went bankrupt
Posted on December 13, 2020, Level beginner Resource Length medium
This is the story of how close we came to shutting down before even launching our first product, how we survived, and the lessons we learnt. By Sudeep Chauhan.
Tags nosql cio management teams startups google
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Full-Stack Flutter: Creating a backend for your app with AWS & serverless
Posted on October 11, 2020, Level intermediate Resource Length medium
Being such a popular language for new developers, many of those using Flutter don't know how or where to even begin when it comes to setting up a backend for their applications. By BleylDev.
Tags app-development javascript android cloud google
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What is Flutter? What makes it a good choice? And How does it Work?
Posted on September 17, 2020, Level beginner Resource Length medium
Flutter is based on Google's programming language called Dart. In fact, it is a typed and object-oriented programming language that can be compiled to machine code or transpiled to JavaScript. By Marwa Mejri – Mobile Software Developer @Proxym.
Tags app-development nodejs cloud javascript google
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New case studies about Google's use of Go
Posted on September 9, 2020, Level beginner Resource Length short
Go started in September 2007 when Robert Griesemer, Ken Thompson, and I began discussing a new language to address the engineering challenges we and our colleagues at Google were facing in our daily work. By Rob Pike.
Tags golang programming cloud web-development google
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What GoogleBot is doing to shopping carts... and why
Posted on August 14, 2020, Level beginner Resource Length short
GoogleBot can add products to shopping carts. But it's only happening to these specific merchants. By Roger Montti.
Tags search web-development miscellaneous servers google
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Two-Factor Authentication (2FA) for SSH with Google Authenticator
Posted on June 18, 2020, Level beginner Resource Length short
If you've ever signed up for a Google, Github, or Twitter account then you've likely come across two-factor authentication. Adding in two-factor logins to SSH then seems like a no brainer. It provides a much-needed extra security layer on an otherwise very vulnerable port of entry to your server. By serverauth.com.
Tags infosec google cloud app-development
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Build your first data warehouse with Airflow on GCP
Posted on June 2, 2020, Level intermediate Resource Length medium
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline? By Tuan Nguyen.
Tags google cloud gcp big-data cio data-science
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Healthcare analytics platform reference architecture
Posted on May 23, 2020, Level intermediate Resource Length long
This document explains the architecture of the healthcare analytics platform—a set of tools on Google Cloud that helps you process clinical and operational healthcare data—to researchers, data scientists, IT teams, and business analysts. By cloud.google.com.
Tags gcp google software-architecture cloud infosec devops
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How to exclude URL query parameters in Google Analytics
Posted on May 20, 2020, Level beginner Resource Length short
Query parameters can sometimes store useful pieces of information in our URLs, but they can cause problems in our Google Analytics data. Query parameters can break apart our pages and make them hard to analyze in our All Pages report. By Amanda Geisler.
Tags google analytics browsers search
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Google engineers 'mutate' AI to make it evolve systems faster than we can code them
Posted on April 23, 2020, Level beginner Resource Length short
Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to create new AI systems, without any human intervention. By David Nield.
Tags data-science big-data google machine-learning
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Announcing TensorFlow Quantum: An open source library for quantum machine learning
Posted on March 10, 2020, Level beginner Resource Length medium
Machine learning (ML), while it doesn't exactly simulate systems in nature, has the ability to learn a model of a system and predict the system's behavior. Over the past few years, classical ML models have shown promise in tackling challenging scientific issues, leading to advancements in image processing for cancer detection, forecasting earthquake aftershocks, predicting extreme weather patterns, and detecting new exoplanets. Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research.
Tags big-data machine-learning software-architecture google