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pdf | 81.46 MB | English| Isbn:9781608957286 | Author: Jessica Lark | Year: 2014 Description: Category:Art, Architecture & Photography, Photography, Photography - History, Criticism, & Collections, Portrait Photography - Nudes https://ddownload.com/bjjfkik5gano https://rapidgator.net/file/a06f2b92f4d2d9c06315eb75cea26ae2/ https://turbobit.net/vlz3t7ku8j74.html -
Free Download Why Machines Learn: The Elegant Math Behind Modern AI (Audiobook) English | ASIN: B0CGRXHS6W | 2024 | 13 hours and 30 minutes | M4B@64 kbps | 394 MB Author: Anil Ananthaswamy Narrator: Rene Ruiz A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence. Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics-the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. Rapidgator https://rg.to/file/8a254f97eb8be08032e99790b3ab9af6/wm3h1.rar.html Fikper Free Download https://fikper.com/A8up9qRZTd/wm3h1.rar.html Links are Interchangeable - No Password - Single Extraction
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Elegant Machinery - I EP (2016) Title: I EP Artist: Elegant Machinery Year: 2016 Genre: Synthpop Packed size: 31 MB Format: MP3 Bitrate: 320Kbps TRACKLIST 01 - I Say 02 - Shut up (And Take My Money) 03 - Wheels in Motion 04 - Future Breakup http://uploadgig.com/file/download/83383F8536402048/35048_e66297ac510ac83cc031a8e2e031ecb4.rar http://rapidgator.net/file/44bed383454b5301db5bd55359480ed7/35048_e66297ac510ac83cc031a8e2e031ecb4.rar.html
