Data Analytics Workouts

Even before AI, I would have thought that work being done now would be automated, and of course, AI will replace some work - since developers automate tasks themselves, using rules, patterns, and processes - but the idea is always to stay ahead of the 'crushing wave' of new tech, often automating oneself out fo a job, thereby keeping your job... BTW, this mentions interesting tools leveraging AI to help coders, rather than simply replacing them, since the latter is not currently a realistic scenario. Source: Will A.I. Take Over Your Programming Job?

In response to an article on Medium, Software engineers will be obsolete by 2060 , I responded with the following : Interesting article on The Economist titled Automation on Automation Angst, http://www.economist.com/node/21661017, that looks at several publications that look at the historical effects of automation, and although there is always a fear of being replaced, ultimately more jobs are created than destroyed. Software engineers disappear? So what! There will be other jobs, with different titles, and in the interim, the more people use tech, the more there will be a need for software engineers. Because of this, a person asked for my opinion on maintaining their career as a .NET developer, to which I responded : Although I am a .NET developer as well, I focus on expanding my project management and leadership skills, as well as developing skills in AI/ML. Rather than bore with all the details of my background, here is what I think: You should develop your skills in AI/ML,...

As part of reading Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms by Nikhil Buduma , I was expecting to work through some of the code examples with my own data, and for the examples, it recommended TensorFlow , which brings up competing alternatives, a primary one being Microsoft Cognitive Toolkit . Over the next few weeks, I will start exploring both in Python, as well as publishing some of the related work. A minor note, the darksigma/Fundamentals-of-Deep-Learning-Book: Code companion to the O'Reilly "Fundamentals of Deep Learning" book is available on GitHub.