Ciência dos dados 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 saúde and food are starting to incorporate AI and aprendizagem de máquinas 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. Data Science 2018: Três tendências que você precisa conhecer
Tripp Smith, Data Center Journal
2. O braço está mudando as experiências de aprendizagem da máquina: Projeto Trillium
Jem Davies, comunidade Arm
3. 10 maneiras de aprender máquinas está revolucionando o marketing
Louis Columbus, Forbes
4. Não se preocupe se a IA vai mal - as mentes por trás disso são o perigo
John Naughton, O Guardião
5. O Gmail agora tem análises, e é fantástico
Larry Alton, A Próxima Web
6. Os principais cientistas de dados de habilidades precisam aprender em 2018
Daniel Gutierrez, insideBIGDATA
7. Snapchat finalmente dá aos criadores a capacidade de análise
Josh Constine, TechCrunch
8. A IA diagnostica doenças dos olhos após a análise de Grandes Dados
Steve Bush, ElectronicsWeekly.com
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