861551Why Machines Learnhttps://www.gandhi.com.mx/why-machines-learn/phttps://gandhi.vtexassets.com/arquivos/ids/852735/8e51fcdb-63ca-4581-81c1-f83dfb3334ba.jpg?v=638484913846200000305424MXNPenguin Publishing GroupInStock/Ebooks/A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physicsthe study of genomes, extrasolar 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....857208Why Machines Learn305424https://www.gandhi.com.mx/why-machines-learn/phttps://gandhi.vtexassets.com/arquivos/ids/852735/8e51fcdb-63ca-4581-81c1-f83dfb3334ba.jpg?v=638484913846200000InStockMXN99999DIEbook20249780593185759_W3siaWQiOiJhNzM1MTBhNy0zYzA3LTQ1ZjgtYjQwMS02ZDUwMzgzMWZiOTUiLCJsaXN0UHJpY2UiOjM5NywiZGlzY291bnQiOjExMSwic2VsbGluZ1ByaWNlIjoyODYsImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI1LTAyLTA1VDA0OjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9780593185759_A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence.As the irresistibly eloquent Anil Ananthaswamy shows, getting under the mathematical skin of machine learning reveals the power of the technology. Machine learning systems are already making life-altering decisions for us: whether its approving mortgage loans, determining whether a tumor is cancerous, diagnosing someone with Alzheimers, or deciding whether someone gets bail. Machine learning systems now influence discoveries in chemistry, biology, and physicsthe study of genomes, extra-solar planets, even the intricacies of quantum systems. Very obviously this revolution in intelligence is not slowing down.The story weaves in simple math that goes back centuries, math that you may have learned in high schoolelementary algebra, logarithms, and calculus, the stuff of eighteenth century mathematics. Indeed by the mid-1850s, the groundwork was all done. Yet, those brilliant mathematicians never dreamed their work would deliver such earth-changing tech. It took the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today.Understanding the various types of math behind machine learning provokes profound questions. Ulitmately there is no difference between natural and artificial intelligence because artificial neurons and the ones in your head follow the same mathematical rules. Both have biases for the same reasons. As Ananthaswamy resonantly concludes, to make the most of our most wondorous technologies we need to understand how their profound limitations mirror our own. Math is the surprising key....(*_*)9780593185759_A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physicsthe 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 artifical 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....(*_*)9780593185759_A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physicsthe study of genomes, extrasolar 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....9780593185759_Penguin Publishing Grouplibro_electonico_2639213a-688a-3b68-b55e-bc4679e81060_9780593185759;9780593185759_9780593185759Anil AnanthaswamyInglésMéxico2024-07-16T00:00:00+00:002024-07-16T00:00:00+00:00Penguin Publishing Group