Machine Learning Systems

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

Machine learning is everywhere. It is time for you to start learning what machine learning is all about, and you can do that with this book. Discover what neural networks are, about python and machine learning, examples of machine learning, how machine learning is beneficial to you, and so much more.

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

¿Está usted confundido acerca del furor que existe detrás de la inteligencia artificial y le gustaría aprender más? Este audiolibro lo abarca todo, desde el aprendizaje automático hasta la robótica y el Internet de las cosas. Usted puede usarlo como una guía útil cuando se encuentre con titulares de noticias que hablan de un nuevo avance en la inteligencia artificial por parte de Google o Facebook. Será consciente de lo que son las redes neuronales artificiales, cómo funcionan el descenso de gradiente y la propagación hacia atrás, y qué es el aprendizaje profundo.