Tag: Data science
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How to run TensorFlow Lite models on Raspberry Pi
Posted on November 5, 2020, Level beginner Resource Length long
Ahmed Fawzy Gad published this piece about running machine learning on edge devices. The deep learning models created using TensorFlow require high processing capabilities to perform inference. Fortunately, there is a Lite version of TensorFlow called TensorFlow Lite (TFLite for short) which allows such models to run on devices with limited capabilities. Inference is performed in less than a second.
Tags machine-learning app-development robotics big-data data-science
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How many jobs do robots really replace?
Posted on October 30, 2020, Level beginner Resource Length medium
New research puts a number on the job costs of automation. In many parts of the U.S., robots have been replacing workers over the last few decades. But to what extent, really? Some technologists have forecast that automation will lead to a future without work, while other observers have been more skeptical about such scenarios. By Massachusetts Institute of Technology, original written by Peter Dizikes.
Tags robotics big-data data-science teams career
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How data blending is leveling the playing field in online marketing
Posted on October 25, 2020, Level beginner Resource Length medium
Online marketing today is about successfully manage your social media marketing, social media advertising, PPC ads, email campaigns - if you're not careful, it can feel like throwing spaghetti at the wall just to see what works. Fortunately, data analysis and - more specifically - data blending can make your marketing decisions faster and easier to make, with more impact. By Zac Johnson.
Tags startups cloud cio teams data-science
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As AI chips improve, is TOPS the best way to measure their power?
Posted on October 14, 2020, Level beginner Resource Length medium
About the challenge of evaluating AI chip performance using "TOPS", a metric that means trillions of operations per second, or "tera operations per second". By Jeremy Horwitz.
Tags big-data machine-learning data-science robotics performance
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Building your own serverless functions with k3s and OpenFaaS on Raspberry Pi
Posted on September 6, 2020, Level intermediate Resource Length long
In recent years, lots of new programming paradigms have emerged – going from monolithic architectures towards microservices and now serverless functions. As a result, less code needs to be deployed, and updating an application becomes easier and faster as only a part has to be built and deployed. By Andreas Muttscheller.
Tags serverless containers data-science kubernetes devops docker
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Tutorial: Deploying TensorFlow models at the edge with NVIDIA Jetson Nano and K3s
Posted on September 5, 2020, Level intermediate Resource Length long
Janakiram MSV put together this tutorial about TensorFlow models. We will explore the idea of running TensorFlow models as microservices at the edge. Jetson Nano, a powerful edge computing device will run the K3s distribution from Rancher Labs. It can be a single node K3s cluster or join an existing K3s cluster just as an agent.
Tags containers data-science kubernetes devops docker
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Apple is pouring resources & money into a new search engine
Posted on September 3, 2020, Level beginner Resource Length medium
Changes in Spotlight Search on iOS and iPadOS 14 beta, a significant update to its Applebot support page, and an increase in crawling from AppleBot signify that Apple may be launching a search engine soon. By Jon Henshaw.
Tags software miscellaneous software-architecture cio data-science
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US begins $1 billion quantum computing plan to get ahead of 'adversaries'
Posted on August 30, 2020, Level beginner Resource Length medium
The government is funding basic research in AI, too. When big technologies like mobile phones, 5G networks and e-commerce arrive, it's important to get in on the ground floor. That's why the US government is establishing 12 new research centers, funded with hundreds of millions of dollars, to boost artificial intelligence and quantum computing. By Stephen Shankland @cnet.com.
Tags how-to cloud data-science machine-learning big-data software
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How to create a custom Alexa skill using AWS Lambda and Serverless framework
Posted on August 22, 2020, Level intermediate Resource Length medium
The world of artificial intelligence assistants is growing with such velocity that it doesn't surprise us anymore and it's about to be ubiquitous. Written by Maria Meheden.
Tags data-science serverless programming frameworks learning aws
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Mastering AWS Kinesis data streams
Posted on July 14, 2020, Level advanced Resource Length long
An article by Anahit Pogosova in which she describes how she has been working with AWS Kinesis Data Streams for several years, dealing with over 0.5TB of streaming data per day. Rather than telling you about all the reasons why you should use Kinesis Data Streams (plenty is written on that subject), she will talk about the things you should know when working with the service.
Tags software-architecture event-driven messaging big-data cio data-science code-refactoring
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Introduction to Machine Learning K-Nearest Neighbors (KNN) algorithm in Python
Posted on July 13, 2020, Level beginner Resource Length long
Machine Learning is one of the most popular approaches in Artificial Intelligence. Over the past decade, Machine Learning has become one of the integral parts of our life. It is implemented in a task as simple as recognizing human handwriting or as complex as self-driving cars. By Vibhu Singh.
Tags machine-learning big-data data-science fintech python
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Training a deep CNN to learn about galaxies in 15 minutes
Posted on June 17, 2020, Level advanced Resource Length long
Let's train a deep neural network from scratch! In this post, I provide a demonstration of how to optimize a model in order to predict galaxy metallicities using images, and I discuss some tricks for speeding up training and obtaining better results. By John F Wu.
Tags big-data machine-learning data-science python