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 […]
Article | “Playbook: Hiring Data Scientists”
Take a look at the strategy Metis uses to build a team of data scientists.
Video: Interview / Advice for “Aspiring” Data Scientists – Landing That First Job
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!
Article | “New AI Tool May Help Diagnose Neurodegenerative Diseases”
See how Mount Sinai is developing large-scale image data in neuropathology for building and evaluating deep learning algorithms to diagnose diseases.
Article | “A Guide to Understanding How Deep Learning Works”
Check out this informative guide on deep learning.
Article | “How to Create an Ethical Framework for Artificial Intelligence”
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.
Article | “AI is No Longer a Tech Niche – 4 Industries that will be Revolutionized by AI in 2019”
Take a look at how AI is revolutionizing the future for the following industries: Agriculture, Photography and Design, Healthcare, and Construction and City Planning.
Article | “How a Former Software Engineer’s Dream of Working in Machine Learning Became a Reality”
Learn how a software engineer transitioned into machine learning through a data science bootcamp.
Article | “Artificial Intelligence in Medical Robotics – Current Applications and Possibilities”
See how AI software is finding its way into medical robotics and how it’s being used by the healthcare industry.
Article | “Top Trends for Data Science in 2019”
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.