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  “Coding” and “Programming”  are the two most important approaches in Software Development Industries. Coding is basically the process of creating codes from one language to another one. It can also be called as a subset of Programming since it actually implements the initial steps of Programming. It involves writing codes in different languages as instructed. Programming is the process of developing an executable machine level program that can be implemented without any error. It is the process of formally writing codes so that the human inputs and corresponding machine outputs remain in sync. What is Coding? The language that computers understand is Machine Code, which is difficult for humans to comprehend.  Coding is the process of translating and writing codes from one language to another whereas Programming is the process of building an executable program that can be used to carry out proper machine level outputs. Coding can be defined as a part of the Programming approach wherea

  All About Machine Learning What is it ? It is a subset of artificial intelligence that is capable of deriving conclusions based on previous experiences and data. How it works? Machine Learning (ML) model is capable of studying previous patterns and predicting future results after observations. Importance Machine Learning extracts meaningful insights from raw data to solve huge data related problems. Uses Machine Learning can solve complex problems that involve large amounts of data. Advantages It helps businesses such as Google and Facebook make recommendations and improve user experience. Disadvantages Machine Learning finds it difficult to predict results if the data provided is not in big amounts.

  5G is finally here 5G is the 5th generation mobile network.  The 5th generation of mobile networks, 5G is the evolution of the 4G networks of today. It has been created to meet and surpass the massive growth of data and connectivity of IoT, changing today’s reality and paving the way for tomorrow. Used For Internet of Things Connecting billions of machines and devices, the  Internet of Things  (IoT) is revolutionizing modern industrial processes and applications. Real-time control Real-time control of devices , vehicle to vehicle communications, autonomous driving and remote medical care are just a few examples of ultra-reliable low latency communications. Enhanced mobile broadband Enhanced mobile broadband will feature dramatically faster data speeds, featuring fixed wireless internet for homes and greater connectivity for travelers.

BEYOND THE HYPE: DAILY USES OF ARTIFICIAL INTELLIGENCE INTELLIGENT PERSONAL ASSISTANTS They use location data, user input and a variety of database information to carry out requests from both voice command and text. They're rapidly improving. Google's Duplex takes it a step further, nearly perfectly replicating human voice and conversational navigation. CUSTOMER SERVICE AUTOMATION Advances in Natural Language Processing have dramatically improved the quality of call routing software systems. AI has also enabled many companies to use chatbots to assist customers on live chat rather than human customer service agents. STREAMING RECOMMENDATION Using Deep Learning algorithms, the software is trained on the data sets created by users and fed into artificial neural networks to identify patterns and create the recommendations that are displayed on the apps that users will most likely want to watch. SMART HOMES New thermostats can operate by learning from the data of your daily schedul

Artificial Intelligence (AI)   is the technology used for equipping computer systems with the ability to make decisions like humans. Being one of the trending technologies, when AI programs are fed to systems, the aim is to mimic human intelligence for performing complex tasks such as pattern recognition, speech recognition, weather forecast and medical diagnosis. AI is used in navigation based applications like Uber, voice assistants like Siri, video streaming services like Netflix, IoT devices and in search engines like Google and Bing. AI helps in automating tasks such as traffic, scheduling trains, making business predictions and designing driverless cars! Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism,  followed by disappointment and the loss of funding (known as an "AI winter,  followed by new approaches, success and renewed funding. So, learning AI  will help you secure jobs such as  Ma

  Python  is one of the most important languages  to master. It’s top rated, fast growing , and in demand by businesses around the globe. There’s a host of excellent insight across the web about how to become a better programmer with python . Did you know 👈 Python is actually older than Java , R and  JavaScript ? If you want to be a better Python programmer, it pays to know your history😃. Why is python so good for artificial intelligence and machine learning? Python is the breakout language of data, zooming ahead of rival R to be dominant in the field of artificial intelligence  and machine learning . The reason for Python's popularity isn't because of its perfection as a programming language, but rather because of its  importance in machine learning  (ML), artificial intelligence  (AI), and   data analysis .