Playing with Machine Learning

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Science Museum Group Collection © The Board of Trustees of the Science Museum

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Diagram of an algorithm for the Analytical Engine for the computation of Bernoulli numbers, from Sketch of The Analytical Engine Invented by Charles Babbage by Luigi Menabrea with notes by Ada Lovelace

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Letter from Ada Lovelace to Charles Babbage 1843 In this letter, Lovelace suggests an example of a calculation which “may be worked out by the engine without having been worked out by human head and hands first”.

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© 2020, Amazon Web Services, Inc. or its Affiliates. http://www.thehudsonvalley.com/articles/60-years-ago-today-local-technology-demonstrated-artificial-intelligence-for-the-first-time Arthur Samuel (1959)

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© 2020, Amazon Web Services, Inc. or its Affiliates. Perceptrons: An Introduction to Computational Geometry A perceptron can only solve linearly separable functions (e.g. no XOR) Marvin Minsky, Seymour Papert (1969)

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. output f(∑) f(∑) f(∑) f(∑) f(∑) f(∑) f(∑) f(∑) f(∑) How to give images in input to a Neural Network? Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix 0 0 0 0 1 0 0 0 0 Identity Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix 1 0 -1 2 0 -2 1 0 -1 Left Edges Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix -1 0 1 -2 0 2 -1 0 1 Right Edges Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix 1 2 1 0 0 0 -1 -2 -1 Top Edges Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix -1 -2 -1 0 0 0 1 2 1 Bottom Edges Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. © 2020, Amazon Web Services, Inc. or its Affiliates. Convolution Matrix 0.6 -0.6 1.2 -1.4 1.2 -1.6 0.8 -1.4 1.6 Random Values Photo by David Iliff. License: CC-BY-SA 3.0 https://commons.wikimedia.org/wiki/File:Colosseum_in_Rome,_Italy_-_April_2007.jpg

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© 2020, Amazon Web Services, Inc. or its Affiliates. Supervised learning Example-driven training — with labeled data of known outputs for given inputs, a model is trained to predict output for new inputs. Unsupervised learning Inference-based training — with unlabeled data without known outputs, a model is trained to identify related structures or similar patterns within the input data.

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In the box 3 2 1 4 5 9 10a 7a 6a 10b 7b 6b 8 1. Vehicle chassis 2. Vehicle body shell 3. Micro-USB to USB-A cable 4. Compute battery 5. Compute battery connector cable 6a. Compute battery charge adapter 6b. Computer battery charge cable 7a. Vehicle power cable 7b. Vehicle power adapter 8. Pins (spare parts) 9. Vehicle battery 10a. Vehicle battery charge adapter 10b. Vehicle battery charge cable 11. Silicon cable holder (not shown) 12. White marking tape (not shown) 1 Vehicle at a glance Front Front Back Back Camera 4 MP camera with MJPEG SD card slot Power button HDMI Micro USB USB C USB Reset button Power on/oﬀ Vehicle chassis Status LEDs Compute module Customizable LED Compute battery on/oﬀ 2

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© 2020, Amazon Web Services, Inc. or its Affiliates. Let’s build a “Positive Chat” J • Avoid negative sentiment • Reject negative sentences • Positive sentiment gamification • Automatically translate between different languages • Extract message topics to improve searchability and discoverability • Create and update a chat room “tag cloud” • Search or filter messages by “tag”

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© 2020, Amazon Web Services, Inc. or its Affiliates. $ wc -l positive-chat/app.js 326 positive-chat/app.js $ wc -l www/index.js 204 www/index.js backend + frontend ≃ 460 lines of code removing empty lines and comments https://github.com/danilop/serverless-positive-chat

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