Univ_Techs ::: To Explore Tech

In CS, it is skills that matter. But, how will you show your potential clients or employers that you are skilled in a particular area? It is simple. Produce your certificates! They will back your claims that you have all the qualifications to perform certain duties. Even if you are already employed, the right certifications can land you a promotion or a pay rise. Top Certifications In Computer Science Since information technology is a dynamic arena, new certifications keep coming up while others are phased out. So what are some of the certifications that can make you sellable? In this post, we are going to look at the best certifications for computer science. 1. Citrix Certified Professional D Virtualization ( CCP-V ) Citrix Certified Professional D Virtualization (CCPV) equips an IT professional with the knowledge and skills to install, configure and implement different XenDesktop solutions. For you to pass CCP-V test, you need to have skills in optimizing, scaling, t...

A penetration test, also known as a pen test, is a simulated cyberattacks against your computer system to check for exploitable vulnerabilities. The websites capability is increasing day by day thanks to new web technologies and their integration with other services. The need for security analysts is also increasing. It has been told by experts that the security industry is having a shortage of skilled professionals and this shortage is expected to increase. When we talk about testing something we talk about going through many instances of a single event which has only slight variation in each instance. Manually going through all of it can be time-consuming hence automation is required.  As per the rule of thumb in computer science: repetitive tasks must be automated, so geeks have developed a lot of tools respecting the rule. These tools involve simple scripts as well as all in one testing suites. Most Useful Tools for Web Application Penetra...

What's New in Tensorflow Machine Learning Google's TensorFlow 1.4 machine learning library adds the contributed Dataset API for working with data sources, but watch out for breakage caused by the update. TensorFlow, Google’s contribution to the world of machine learning and data science, is a general framework for quickly developing neural networks. Despite being relatively new, TensorFlow has already found wide adoption as a common platform for such work, thanks to its powerful abstractions and ease of use. TensorFlow 1.4 API additions TensorFlow Keras API The biggest changes in TensorFlow 1.4 involve two key additions to the core TensorFlow API. The  tf.keras  API allows users to employ the Keras API, a neural network library that predates TensorFlow but is quickly being displaced by it. The tf.keras API allows software using Keras to be transitioned to TensorFlow, either by using the Keras interface permanently, or as a prelude to the s...

  Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and efficient robots. What are Robots? Robots are the artificial agents acting in real world environment.   Objective: Robots are aimed at manipulating the objects by perceiving, picking, moving, modifying the physical properties of object, destroying it, or to have an effect thereby freeing manpower from doing repetitive functions without getting bored, distracted, or exhausted.   What is Robotics? Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.   Aspects of Robotics The robots have mechanical construction , form, or shape designed to accomplish a particular task. They have electrical components which power and control the machinery. They contain some level of computer program that determines what, when and h...