Tech emphasis

IDE (integrated development environment) is a software application, which provides software developers and programmers with comprehensive software development facilities. An IDE consists of a one source code editor, a debugger, and automation tools. As per the popularity and features of the IDE, we have made the below mentioned top 5 list of IDE which you can learn to make your everyday coding more efficient and fun:  1. Microsoft Visual Studio Code  blends the flexibility of a source code editor with efficient developer tooling, such as completing and debugging IntelliSense code. Likewise, Visual Studio Code features a quick source code editor with lightning, ideal for everyday use. With support for hundreds of languages, VS Code lets you get syntax highlighting, bracket matching, auto-indentation, box collection, snippets, and more. Similarly, Intuitive keyboard shortcuts, simple configuration, and shortcut mappings on the group keyboard allow you

Caption: Data Visualization Source:  searchenginejournal Exploration of data, understanding of data, and presenting the summary of the data in a beautiful way for further statistical analysis and interpretations are all the final outputs of data visualization. In the world of abundant data, visualization is essential frequently during the exploratory analysis and primary data cleaning processes in the field of machine learning, data science, and data mining. There are various techniques for data visualization which are further explored here: 1. Word Clouds Caption: Word clouds for words used in a report Source:  Nelson Norman Group Word Cloud is a visualization technique for texts done in static ways. In a word cloud, the most frequently used words are presented in larger font size and others are presented according to their frequency of appearances. It is used to summarize the contents of websites or text documents. There are typically 2 types of word cloud visualization: static and d

The concept of intelligence is at once both controversial and complex depending on the levels of its perception. While humans are considered to be the most intelligent being in nature today, computers being a device inverted by humans for easy calculations, in the beginning, researches has been elongated to its own intelligence today. One of the definitions of intelligence complies that it is the ability of the subject to consciously be able to perceive its environment and be able to interact and respond to it rationally which a human can do naturally. Besides rationality on the verse of intelligence comply that doing the right thing, through experience and learning. Intelligence is a special characteristic gifted to the human being and artificial intelligence is a property that human has been trying to put into the computer system from the last fifty years and the journey is still continuing. Research over languages, libraries, algorithms alongside ontology, neural networks, speech pr

Programmers use programming languages to code such that the computer behaves as they want it to. A lot of people have this question in their mind if coding is important. Well, computers can simply perform no tasks without the source code. Source code is a set of instructions written in a programming language that tells the machine what to do. It is difficult to imagine our lives without coding nowadays as everything we do on our computer is related to coding in some way. Every application on the computer works under the source code. While the technology is constantly changing, and the Programming languages once popular are not anymore. As a result, you should learn programming languages, to keep up with the industry. In this case, choosing a programming language to learn next or for the very first time can be confusing. However, below are a few programming languages you should definitely try learning. 1.Python Python is a high-level interpreted programming language, which is growing ra

Back in 2011 with the original release of Siri in iPhone 4S, as a virtual assistant, it was praised for its voice recognition and processing, and with that gradual development to date, a lot of breakthroughs have been made out in this field. Today alike Siri, you have Cortana, Alexa or Google assistant, and google translator translating languages to your understandable ones, which have excellent speech recognition engines built behind it. While we are comfortable and enjoy using all of these and criticize them when we find yet to improve issues, what’s behind these huge technologies? All the answer lies over natural language processing and machine learning algorithms. Caption: Virtual Assistants -Siri, Alexa, Google Assistant Source:  Businessinsider In an extremely simple and improvised way to distinguish the natural language processing application from other data processing systems, consider a word counter program, used to count the total number of bytes and words in a text file. W

AI has undoubtedly brought immense changes to different fields especially, 'healthcare', with capabilities to recognize images and categorize data. They have helped to make the patient-doctor equation stronger and medical treatments faster and more affordable. Additionally, Surgeons employ AI to use smaller tools and more accurate incisions. Similarly, Visual nurse assistants may remind patients about the timing of the medication. Despite human assistance, not many of those major advancements have come. AI and humans are a balanced team in providing a diagnosis of health care. Thus, such magical wonders cannot be performed by AI itself.   1 .      Writing computer programs:  AI is not capable of writing apps. In the book 'The Mythical Man-Month', American computer architect 'Frederick Brooks' conveys that given the advances brought by AI, it does not have the human factor of understanding which makes it incapable of writing software. He explains that writing

With all the breathless hype of transitioning science fiction to a real-world where intelligence has been researched, tested and so far developed so much giving out the technological breakthroughs and the current state-of-art   of deep learning using artificial neural networks, the field of artificial intelligence in the field of the hard-working computer geeks, engineers and researchers. While all the milestones like Deep Blue defeating the world chess champion Garry Kasparov to machines learning to identify cats to self-driving cars hitting the streets and the lavish lists of all the research and development, the major foundation is the soul of algorithms being implemented through the programming languages.   Here’s the rundown of top programming languages for artificial intelligence be it machine learning or deep learning. 1.  Python Python being an open-source programming language boasts the most leverage proven pre-built libraries and community support in the field of artifici