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5 Best Certification Courses In Computer Science

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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
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The Couple of Tools for Web Application Penetration Testers || Univ_Techs

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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 Penetration
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Google's ML-Kit for Mobile Development || Univ_Techs

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     ML Kit is a mobile SDK that brings Google's machine learning expertise to Android and iOS apps in a powerful yet easy-to-use package. Whether you're new or experienced in machine learning, you can implement the functionality you need in just a few lines of code. There's no need to have deep knowledge of neural networks or model optimization to get started. On the other hand, if you are an experienced ML developer, ML Kit provides convenient APIs that help you use your custom TensorFlow Lite models in your mobile apps.      At Google I/O'18 developer conference in May, Google introduced ML Kit, a cross-platform suite of machine learning tools for the Firebase mobile development platform. ML Kit uses the Neural Network API on Android devices and is designed to compress and optimize machine learning models for mobile devices.  It brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. ML Kit makes
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App Maker, Google’s low-code tool for building business apps || Univ_Techs

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     App Maker is available with G Suite Business, Education, and Enterprise editions . Sign in to an account provided by your school or employer and start building apps now.      It’s been a year and a half since Google announced App Maker, its online tool for quickly building and deploying business apps on the web. The company has mostly remained quiet about App Maker ever since and kept it in a private preview mode, but today, it announced that the service is now generally available and open to all developers who want to give it a try.      Access to App Maker comes with any G Suite Business and Enterprise subscription, as well as the G Suite for Education edition. The overall idea here is to help virtually anybody in an organization — including those with little to no coding experience — to build their own line-of-business apps based on data that’s already stored in G Suite, Google’s Cloud SQL database or any other database that supports JDBC or that
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3 Best IDE for Java Programmers and Developers || Univ_Techs

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Java is a programming language and a platform . It is a high level, robust, secured and object-oriented programming language. Platform : Any hardware or software environment in which a program runs, is known as a platform. Since Java has its own runtime environment (JRE) and API, it is called platform. Java is one of the most popular programming languages and used by millions of developer worldwide. It is a general-purpose programming language that features object-oriented approach. Since its first appearance in 1995, it has always been among top languages in the field despite being much older. Java was originally designed for TV systems i.e.,digital devices such as set-top boxes, televisions etc. But it was quite advanced for it at that point of time. Its creator James Gosling was highly impressed with C, CPP and thus based on it he created this language of his which is still so popular as almost a major portion of developers code in it & also it is one
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Apple’s 'Create ML' || Univ_Techs

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      Apple announced a new feature for developers called Create ML . It Create machine learning models for use in your app. Create ML is a machine learning framework in Swift which can be used to train the machine learning models using native Apple technologies like Swift, Xcode, and Other Apple frameworks. This means machine learning is possible within Apple ecosystem without any third-party service.  Create ML technology has following features,.. A simple approach for training the model using images, texts, and tabular data Models still can be trained using complex algorithm if you are expert Machine learning models can be created using Xcode Playground, Swift, and native Apple framework The process of creating and training module can be automated using Swift scripts.      You train a model to recognize patterns by showing it representative samples. For example, you can train a model to recognize dogs by showing it lots of images of different dogs. A
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The Couple of Best Programming Languages for Data Mining || Univ_Techs

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Data mining heavily relies on computer processing and a data collection. Data mining tools are used to precisely predict future behaviors and drifts thus allowing businesses to make informed decisions. There are several techniques for data mining and these include looking for incomplete data, dynamic data dashboard, and database analysis.  Programming Languages used for Data mining There are several programming languages used for data mining, the main ones include the following: 1. R      R is a language that dates back to 1997. It was a free substitute to exorbitant statistical software such as SAS or Matlab. R programming language can be used to sift through very complex data sets and to create very sleek graphics that represent numbers in few code lines. This language has the most ideal asset as well as a supportive ecosystem that has been developed around it.      New features and packages were frequently incorporated into its robust functio
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