The students studying computer science and data understand that they have a lot of options to consider when it comes to choosing a career. While they may have plenty of resources to refer to when studying in their courses, quality materials that stay current with degree developments and costs are typically in less supply, though […]
Take a look at the strategy Metis uses to build a team of data scientists.
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
See how Mount Sinai is developing large-scale image data in neuropathology for building and evaluating deep learning algorithms to diagnose diseases.
Check out this informative guide on deep learning.
Take a look at how governments and enterprises are developing an ethical framework to ensure that AI continues to lead to the best decisions, without unintended consequences or misuse of data and analytics.
Take a look at how AI is revolutionizing the future for the following industries: Agriculture, Photography and Design, Healthcare, and Construction and City Planning.
Learn how a software engineer transitioned into machine learning through a data science bootcamp.
See how AI software is finding its way into medical robotics and how it’s being used by the healthcare industry.
Check out what is in store for data science in 2019. This article isn’t about new fads and concepts, but rather, dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of the disruption you are on), in a significant manner.