Ciencia de los datos continues to revolutionize industries and workplaces worldwide. As businesses realize the power of analytics, they’ve started to hire data scientists on a large scale, so that they can take accurate, data-driven decisions. Industries like salud y la alimentación están empezando a incorporar la IA y aprendizaje automático in a big way — from using predictive diagnostics to burger-flipping robots. Gmail and Snap have both started to offer users analytics, while Arm has announced Project Trillium, a machine learning project that can help smartphones detect objects and provide intelligent feedback. Here are some of the best reads in the analytics, AI and ML space from February 2018:
1. Ciencia de datos 2018: Tres tendencias que debes conocer
Tripp Smith, Data Center Journal
2. Arm está cambiando las experiencias de aprendizaje automático: Proyecto Trillium
Jem Davies, comunidad del brazo
3. 10 formas en que el aprendizaje automático está revolucionando el marketing
Louis Columbus, Forbes
John Naughton, The Guardian
5. Gmail ahora tiene análisis, y es increíble
Larry Alton, The Next Web
6. Las principales habilidades que los científicos de datos deben aprender en 2018
Daniel Gutiérrez, insideBIGDATA
7. Snapchat por fin ofrece a los creadores análisis
Josh Constine, TechCrunch
8. La IA diagnostica enfermedades oculares tras el análisis de Big Data
Steve Bush, ElectronicsWeekly.com
¿Tiene más artículos que añadir a la lista? Déjalo en los comentarios de abajo o Tweet ¡a nosotros!
Kolabtree helps businesses worldwide hire freelance scientists and industry experts on demand. Our freelancers have helped companies publish research papers, develop products, analyze data, and more. It only takes a minute to tell us what you need done and get quotes from experts for free.
Unlock Corporate Benefits
• Secure Payment Assistance
• Onboarding Support
• Dedicated Account Manager
Sign up with your professional email to avail special advances offered against purchase orders, seamless multi-channel payments, and extended support for agreements.
