Architecture Monthly Magazine for July: Machine Learning
AWS Architecture BlogArchitecture Monthly Magazine for July: Machine LearningbyAnnik Stahl| on06 AUG 2019| inAmazon Machine Learning,Amazon SageMaker,Architecture,Artificial Intelligence,Foundational (100),Intermediate (200)|Permalink|ShareEvery month, AWS publishes the AWS Architecture Monthly Magazine (available for free onKindleandFlipboard) that curates some of the best technical and video content from around AWS.In the June edition, we offered several pieces of content related to Internet of Things (IoT). This month we’re talking about artificial intelligence (AI), namely machine learning.Machine Learning: Let’s Get it StartedAlan Turing, the British mathematician whose life and work was documented in the movieThe Imitation Game, was a pioneer of theoretical computer science and AI. He was the first to put forth the idea that machines can think.Jump ahead 80 years to this month when researchers asked four-time World Poker Tour title holder Darren Elias to play Texas Hold’em with Pluribus, a poker-playing bot (actually, five of these bots were at the table). Pluribus learns by playing against itself over and over and remembering which strategies worked best. The bot became world-class-level poker player in a matter of days. Read about it in the journalScience.If AI is making a machine more human, AI’s subset, machine learning, involves the techniques that allow these machines to make sense of the data we feed them. Machine learning is mimicking how humans learn, and Pluribus is actually learning from itself.From self-driving cars, medical diagnostics, and facial recognition to our helpful (and sometimes nosy) pals Siri, Alexa, and Cortana, all these smart machines are constantly improving from the moment we unbox them. We humans are teaching the machines to think like us.For July’s magazine, we assembled architectural best practices about machine learning from all over AWS, and we’ve made sure that a broad audience can appreciate it.Interview: Mahendra Bairagi, Solutions Architect, Artificial IntelligenceTraining: Getting in the Voice MindsetQuick Start: Predictive Data Science with Amazon SageMaker and a Data Lake on AWSBlog post: Amazon SageMaker Neo Helps Detect Objects and Classify Images on Edge DevicesSolution: Fraud Detection Using Machine LearningVideo: Viz.ai Uses Deep Learning to Analyze CT Scans and Save LivesWhitepaper: Power Machine Learning at ScaleWe hope you find this edition of Architecture Monthly useful, and we’d like your feedback. Please give us a star rating and your comments on Amazon. You can also reach out toaws-architecture-monthly@amazon.comanytime. Check back in a month to discover what the August magazine will offer.TAGS:Amazon Sagemaker,architecture best practices,artificial intelligence,AWS Architecture Monthly,machine learningAnnik StahlAnnik Stahl is a Senior Program Manager in AWS, specializing in blog and magazine content. Having been the face of Microsoft Office for 10 years as the Crabby Office Lady columnist, she loves getting to know her customers and wants to hear from you.
Every month, AWS publishes the AWS Architecture Monthly Magazine (available for free on Kindle and Flipboard) that curates some of the best technical and video content from around AWS. In the June edition, we offered several pieces of content related to Internet of Things (IoT). This month we’re talking about artificial intelligence (AI), namely machine […]
Annik Stahl
Amazon Machine Learning Amazon SageMaker Architecture Artificial Intelligence Foundational (100) Intermediate (200)