Architecture Monthly Magazine for July: Machine Learning
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 Started
Alan Turing, the British mathematician whose life and work was documented in the movie The 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 journal Science.
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 Intelligence
- Training: Getting in the Voice Mindset
- Quick Start: Predictive Data Science with Amazon SageMaker and a Data Lake on AWS
- Blog post: Amazon SageMaker Neo Helps Detect Objects and Classify Images on Edge Devices
- Solution: Fraud Detection Using Machine Learning
- Video: Viz.ai Uses Deep Learning to Analyze CT Scans and Save Lives
- Whitepaper: Power Machine Learning at Scale
We 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 to firstname.lastname@example.org anytime. Check back in a month to discover what the August magazine will offer.