Llevo bastantes años leyendo a través de Feedly (y antes por Google Reader, y antes por Bloglines) básicamente las mismas fuentes. Algunas he ido incorporando a lo lago de los años pero al final la base es la misma.
Estas últimas semanas he incorporado una nueva fuente, y por el momento, parece que he acertado con ella, porque de los seis enlaces compartidos, dos vienen de allí.
Espero que os interesen tanto como a mí:
Otra profesión que va a tener que reinventarse. Y mucho.
data-poor companies that want to survive in a world where the data rich can expect their algorithms to be smarter have to get creative. Jeremy Achin, CEO of startup DataRobot, guesses that a model seen in insurance where smaller companies (carefully) pool data to make their risk predictions competitive with larger competitors might catch on more broadly as machine learning becomes important to more companies and industries.
QR codes aren’t a failure from the past. They’re the future. For real this time.
Instead of teaching students to answer questions, we should teach them to ask them
Para reflexionar seriamente:
the aggregate forecast was that there is a 50 percent chance that “unaided machines can accomplish every task better and more cheaply than human workers” within 45 years, and a 10 percent chance of it occurring within nine years.
Explainers and sustainers are new jobs that involve explaining AI and how it’s working and maintaining or improving AI systems over time.