Addicted to Tech

Using Frameworks to Build Websites and Web Applications Even if you only build websites using Content Management Systems(CMSs) , you've probably heard the word "framework" before. You've probably also heard of a few famous web frameworks, including Flask, Django and Bootstrap. Many experienced web developers build websites using frameworks and often find them easier and enjoyable to use. In this post, we're going to explain what a framework is, and when you might use a framework. If you are just using a CMS, this post will still contain some valuable insights, as many CMS systems can and are built using frameworks. For example, Drupal 8 is current...

Core skills for CS and IS students When it comes to computer science (CS) and information systems (IS), one size simply doesn't fit all. These umbrella terms encompass many diverse fields of study and areas of expertise, which eventually pan into very different career paths. With so many avenues, it's tough pinpointing exactly what to teach students before they step out into the real world. Thankfully, there are several core skills that each and every CS student and IS scholar will need to know by graduation; skills that will help them get a head start in the tech industry, no matter which path they choose. Some of them are: Technology must provide business value   Often, with technology, we're lured by the shiny new gadget or software that promises to solve all IT problems. But students need to know that the technology they're using is only a tool, one that provides value. The key is to not implement technology just for technology's sake....

Machine Learning Basic Doubts: What is Machine  Learning? Machine learning is a core sub-area of AI, it enables computers to get into  a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change and develop by themselves. To put simply, the iterative aspect of ML is the ability to adapt new data independently. This is possible as programs learn from previous computations and use "pattern recognition" to produce reliable results. Why Machine Learning? Consider some of the instances where ML is applied:the self-driving Google car, cyber fraud detection, online recommendation engines- like Fb's friend suggestion, Youtube's video recommendations, Netflix's movies/shows recommendations and "more item to consider" and get yourself a little something" on Amazon- are all examples of applied ML. Machine Learning has 2 phases : Learning Phas...