Machine Learning

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Machine Learning, or artificial intelligence is enabled by the cloud.  With all a businesses data in one place there's no limit to the insights that machines can provide to us.

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    What is Deep Learning?

    Deep learning is a category of artificial intelligence (AI) used to find patterns within various types of complex datasets which can include textual, audio, and visual data.

  • How to Choose the Right Cloud Provider

    How to choose the right cloud provider

    The promise of cloud technology has spawned tremendous innovation by some of the biggest, most powerful companies in the world.

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    Top 5 things to know about machine learning content moderation

    If you are in charge of moderating user generated content, whether video, image or text based, you may be wondering how you can take advantage of machine learning without having to completely rearchitecting your platform.

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    Automated Content Moderation with AWS Machine Learning

    Metal Toad was recently announced as a solutions partner in Mux’s newest partner program initiative. Mux is a video platform that enables developers to quickly and easily build out amazing video experiences. 

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    AWS Deep Learning

    If you are in the tech world or in the executive business space, you've probably heard the term "Deep Learning" being thrown around. Within the AWS Machine Learning ecosystem the specific deep learning tools are:

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    The top 5 things to know about facial recognition

    When Forbes quoted me in their article 12 Things You Need To Know About Facial Recognition Technology, I made the following contribution...

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    Amazon Rekognition

    Amazon Rekognition (sometimes AWS Rekognition) is a pre-trained computer vision AWS deep learning algorithm which can pull and index insights from images and videos.

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    3 Ways To Use Machine Learning: December 2021 Hackathon Overview

    At the end of 2021, Metal Toad leaders came together to reevaluate the future of Metal Toad. After several internal meetings, it was decided that Metal Toad's future is with machine learning. The main driver in this decision is that machine learning is on the rise.

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    What is Amazon SageMaker?

    If you are new to the machine learning development world you not know what you need to know about Amazon SageMaker. Here are the top 5 things you should know about it:

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    Is the AWS Machine Learning Certification worth it?

    How does AWS Machine Learning Certification Compare to the Competition? Machine Learning is hot, and AWS machine learning is at the very top of the list.  When compared to the other major cloud providers on SpyFu (a search keyword research tool), the

  • CEO Joaquin Lippincott at re:Invent 2021

    Big Takeaways from AWS re:Invent 2021

    While normally I consider myself a consistent writer, since this summer it's been difficult for me to muster to will to research and share the newest, most interesting things happening in the technology space.

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    Q4 2021 Online Hackathon: Identifying Downed Power Lines

    In Februar

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    Announcing The Metal Toad Q4 2021 Online Hackathon: Building Your Own Machine Learning Model

    It's that magical time of the year - our hackathon is back! Twice a year, we set aside the day-to-day and dive into an exciting 48-hour innovation whirlwind of rapid development. It's a chance to play on the leading edge of cloud technology, and we have a lot of fun doing it.

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    Where is AWS going? 3 Trends From AWS re:Invent 2021

    I had the privilege of being able to attend AWS re:Invent 2021 in Las Vegas.

  • AWS re:Invent 2021 Guide

    AWS reInvent: what to expect 2021

    As an award-winning AWS Advanced Consulting Partner and AWS managed services provider, we are pumped about the

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    What is Machine Learning?

    Machine learning is a field of computer science where mathematical systems “learn” from massive data to adjust their internal models using linear algebra and statistics.

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    But what is Phase 2??

    I've been spending more time talking to clients about data engineering.

  • "There is something for everyone in the AWS ecosystem"

    Machine Learning - it's easier than you think!

    10 years ago, a younger me interviewed a brilliant young man named Tony for a position as a programmer at Metal Toad.

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    How to do machine learning in AWS

    After being immersed in hundreds of announcements and innovations and inspiring presentations at AWS re:Invent, the key insight I came away with was this: machine learning has so radically evolved that it will change the future of every industry smart enough take advantage of it.

  • AWS Personalize - AWS reInvent Insights

    AWS Personalize - AWS reInvent Insights

    AWS Personalize, part of Amazon's suite of machine learning services, allows for creating highly curated experiences is a major differentiator for enterprises that seize the possibilities.

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    Creating a Scavenger Hunt on Android With TensorFlow

    Prior to Google IO 2017, I would have expected creating an image classifier that functions on an Android device to either not work, be terribly slow, or be completely inaccurate.  Fortunately, with the current Machine Learning offerings from Google, including TensorFlow, none of these are true assuming you take some care into putting everything together.

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    AWS re:Invent Insights—Amazon Forecast

    I was excited to join a group of Toads attending AWS re:Invent. Five days of fascinating product announcements, keynote speeches, and networking with other cloud engineers was the perfect way to cap off the year.

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    Predictive Maintenance with Machine Learning and IoT

    Maintenance of machinery is vital in all industries.  Not only does maintenance cost time and money, but improper maintenance could lead to inefficient performance or potentially be a safety hazard depending upon the purpose of the machinery.

  • Machine Learning

    A love letter to Machine Learning

    Machine learning changed my world, and it started with an Uber ride.

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    Q4 Hackathon Theme: Machine Learning & Data Science

    I was dusting off my copy of Ray Kurzweil's The Age of Spiritual Machines today, and found a fascinating chart (adapted below).

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