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      "body": "If you are a new Youtuber and don't know how to grow your channel then you are on the right article. I will describe how the Youtube Algorithm works and how you get views and subscriber in a month.  So let me give you Short Guide how Youtube works and then we move on to the how to use Tags, Channel art, etc to your grow channel. \nYoutube offers partnership programs to the content creator which is associated from Google Adsense I hope you heard the name Google Adsense which is offered by Google. Bellow is the Image which will show you how Google pay to Youtube and how they pay to you.\n\nNow its time to Talk about Tips you follow to get success in Youtube Career.\n<h1>Youtube Channel Art</h1>\nYou know that beautiful things are always attractive, You need to create attractive channel art which we force your viewer to subscribe you. So here are the points that what channel art must be included.\n<ul><li>Must include full name</li>\n<li>Must include Your Social media names </li>\n<li>a short little description about your channel below the Name</li>\n<li>Make it colourfull</li>\n<li>Choose a Good name for your channel</li>\n</ul>\nAfter the channel art now its time to make an attractive channel icon. Alright, you need a serious focus on the channel icon because when someone searches you. Your channel icon will be displayed. One more thing I want to tell that how you make a channel art or channel icon. So let's talk about the software which will help you to make your channel art. U can use Photoshop and Illustrator, Coreldraw or infinity. Search on Youtube channel art and channel icon tutorial.\n<h1>Youtube Tags Game </h1>\nThe most important thing in Youtube and other search engines are the tag. Tags are responsible to show your videos in the Youtube search engines, in simple words it helps the Youtube Search engine to Sort your Youtube into the right way,let me tell you a simple example you searched assassin creed game tutorial on youtube you get result of assassin creed walkthrough and 99% you did not get any GTA any other game Walkthrough because Youtube sort this videos according to tags. So be careful with the Tags, Below are the points you need to be careful.\n<ul><li>Use Matching keywords with your video</li>\n<li>Must include Your Social media </li>\n<li>a short little description about your channel below the Name</li>\n<li>Make it colourfull</li>\n</ul>\nUse Keyword research software or website and collect the best ranked keyword for your videos. Here the website you can use to search Keywords: Google keyword planner, Kiwi keyword planner, Follow us on Steemit to get a daily update of SEO for Youtube, Website, Facebook, \n<h1> Youtube Description and Title</h1>\nTitle Describe what your Video is about and Description is Describe the quantity of your video. AttractiveTitle is very important but if you don't know how to write an attractive Title then searched the famous Youtuber videos and see how they write. Or You can Tubebuddy which help you to manage your channel. Make your title not so long and add a keyword in it, in Description write what you gonna tell about in this video, and add your social media links.\n<h1>Most Important Tips</h1>\nFollowing are the Tips i mentioned for getting successful Youtube channel in 1 month\n<ul><li> \nAsk for subscribing your channel from your viewer at the end of the video or in the start.\nReply your viewwers comment and give them heart.\nAdvertised your channel on Facebook groups, Instagram, Google + and other social media platforms.\nUpload video after 3 days or once in a week ( at the starting of your new Youtube channel).\nMake A Prize giveaway on 1k subscribes.\nMostImportant- Never lose Hope !\n</li></ul>\n\nHope You like this Tip Please comment below if I miss something.\nRegards: Haider Imtiaz\n\nMore on HopitGuide",
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      "body": "![](https://cdn.steemitimages.com/DQmUeAw8ReYZaxnANfJr6YfwQFpoeDu9p16NETQ5pdtF6Ah/image.png)\nShort for artificial intelligence, AI is the science of creating intelligent computer programs and machines in an attempt to mimic human levels of intelligence.\n\n\nArtificial intelligence (henceforth written as AI in this article) and computing are inexorably linked and whether or not you realize it, AI plays a huge role in our everyday lives. Realistically, it's less HAL 9000 and more iPhone X. Here’s a brief rundown of where AI originated, where it is today, and where it's headed in the future.\n\n\nThe History of Artificial Intelligence\nSince the dawn of computing in the mid-20th century, AI has been top of mind for many computer scientists; the discipline was outlined and formalized at Dartmouth College in 1956. Immediately afterward, the industry saw an avalanche of funding and it looked as if artificial human-level intelligence was on the horizon.\n\nEarly AIs were tasked with solving mazes, communicating in simple sentences, and navigating rudimentary robots. \n\nYet after 20 years, the promise of near-human intelligence hadn’t arrived. Limited computing power made many complex tasks impossible and as public support began to waver, so too did the funding. Most importantly, researchers had over-promised and under-delivered, which turned off investors. \n\nA second boom in the '80s saw the rise of computers that could make decisions based on a pre-programmed set of problems. And still these AI were too dumb. They lacked practical applications, so the industry suffered another bust a few years later.\n\n\nThen, a new class of artificial intelligence began to emerge: Machine learning, in which computers learn and improve from experience instead of needing to be specifically programmed for a task. In 1997, as a result of machine learning artificial intelligence, a supercomputer beat a human opponent in chess for the first time and just 14 years later, a computer named Watson defeated two human competitors in Jeopardy!\n\nThe early 2000s through today have been a high water mark for artificial intelligence. Other subsets of artificial intelligence have spawned, including data mining, neural networks and deep learning. With ever-faster computers able to perform more complex tasks, AI has seen a huge resurgence and has become an important part of everyday life, affecting everything from your drive to work to the cat gif you just shared with your mom.\n\nAI Now\nToday, artificial intelligence has found boundless applications. Research focuses on just about any application, but robots, autonomous vehicles, and even drones are among the best known. \n\nSimulations and simulated environments are another area that have benefited from increased computing power. Indeed, some video game simulations have become so detailed and realistic that it's led some to postulate that we must be living in a computer simulation.\n\nFinally, language learning is one of the more ambitious and difficult AI projects being worked on today. Sure, Siri can respond to a question with a pre-programmed response, but the type of conversations you saw in Interstellar between TARS and Matthew McConaughey's character are still a ways out. \n\nAI in Your Daily Life\nEmail spam filters: If you ever wonder why you never see emails from Nigerian princes anymore, you can thank artificial intelligence. Spam filters now use AI to recognize and learn which emails are real and which are spam. And as these AIs learn, they improve – in 2012, Google claimed that it identified 99 percent of email spam and by 2015, that figure was updated to 99.9 percent.  \nMobile check deposits: How is it that your phone can read and deposit a check – even a handwritten one? You guessed it – AI. Reading handwriting has historically been a problem for AI systems, but has now become commonplace. Now you can even see live translations of text using your smartphone camera with Google Translate.\nFacebook picture tagging: Facial recognition has long been a common theme in spy movies, but with the world uploading billions of pictures of faces online every day, it’s now a reality. Every time Facebook recognizes and suggests that you tag a friend in a picture, that’s artificial intelligence hard at work.\nWhat’s in Store for the AI of the Future?\nWhile movies like The Terminator and The Matrix have convinced some people that maybe we shouldn’t be teaching computers how to think, researchers are more focused on creating C3POs and WALL-Es. Helpful AI like driverless cars, smartphones and homes that predict your every need, and even robots that deliver groceries are all just around the corner.\n\nAnd as we push out further into the stars, AI-controlled robots will be invaluable in exploring worlds too hostile for humans. \n\nSome experts like Elon Musk warn that advanced AI presents significant risks and problems like robots taking over nearly everyone’s job, especially those in manufacturing, which has already seen massive job loss due to automation. Still, progress in AI marches on, even if we’re not sure where it’s headed.",
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      "body": "An algorithm is a set of instructions. The definition is really that simple. An algorithm can be as easy as giving instructions like this:\n\n\nGo down the street.\nTake the first right.\nFind the second house on the left.\nKnock on the door.\nDeliver the package.\n\nBut while the definition of algorithm is simple, the actual meaning and how it affects our lives can be quite complex.\n\nAn Example of an Algorithm \nA common example of an algorithm that we use in our daily lives is a recipe. This set of instructions gives us all of the ingredients we will need and directions on what to do with those ingredients. Sounds easy, right?\n\nBut what if you don't know where the measuring cup is kept? You'd need an algorithm to find it. You may even need an algorithm on how to use a measuring cup.  \n\nSo while an algorithm is a set of instructions, it also needs to take into account who or what is going to interpret those instructions. For example, If you give directions to a friend detailing how to get from your house to the nearest grocery store, your friend will only know how to get to that store if they know where your house is located. They're not capable (yet) of finding that particular grocery store from say, another friend's house.\n\nThis is how an algorithm can be both simple and complex. And when we talk in terms of computer algorithms, understanding what a computer is capable of doing is a fundamental part of formulating algorithms.\n\n\nHow Sorting Algorithms Evolved\nOne of the earliest algorithms created was the bubble sort routine. Bubble sort is a method for sorting numbers, letters or words by looping through a data set, comparing each set of values side-by-side, and swapping them when needed.\n\nThis loop is repeated until the algorithm can move through the entire list without needing to swap anything, which means the values are sorted correctly. This type of algorithm is often referred to as a recursive algorithm because it loops on itself over and over until it completes the task.\n\nThat type of algorithm might look as simple as:\n\nGo to the first value.\nCheck that value against the next value and swap positions if needed.\nGo to the next value and repeat the comparison.\nIf we are at the end of the list, go back to the top if any value was swapped during the loop.\n\nBut bubble sort didn't turn out to be the most efficient way of sorting values. As time went on and computers became more capable of doing complex tasks quickly, new sorting algorithms popped up.\n\nOne such algorithm scans through the first list and creates a second list of sorted values. This method only makes a single pass through the original list, and with each value, it will loop through the second list until it finds the correct place to put the value. Usually, it is more efficient than using the bubble sort method.\n\nThis is where algorithms can get really crazy. Or really interesting, depending on how you look at it.\n\nWhile the bubble sort method is considered one of the most inefficient methods of sorting values in many ways, if the original list is presorted properly, bubble sort can be one of the most efficient. That's because, in that instance, the bubble sort algorithm will go through the list a single time and determine it is correctly sorted.\n\nUnfortunately, we don't always know if our list is presorted, so we have to choose an algorithm that is going to be the most efficient to use on average across a large number of lists.  \n\nWhat We Learn From the Bubble Sort Algorithm\nAlgorithms evolve over time as we find more efficient ways to do things and/or computers become more capable of carrying out complex tasks. \nAlgorithms are sometimes chosen because they are \"more\" efficient \"most\" of the time.\nJust because an algorithm is more efficient most of the time doesn't mean its always the best in each individual case.\nFacebook Algorithms and More in Everyday Life\nAlgorithms are at work helping humans every day. When you search the web, an algorithm is at work trying to find the best search results. Ask your smartphone for directions, and an algorithm decides the best route for you to take. And when you browse Facebook, an algorithm decides which of our friend's Facebook posts are most important to us. (Let's hope our friends don't find out which one Facebook thinks we like the most!)\n\nBut thinking algorithmically can help us far beyond our computer lives. It can even help us build a better sandwich.\n\nLet's say I start with two slices of bread, spreading mustard on one slice and mayonnaise on another slice. I put a slice of cheese on the bread with the mayonnaise, some ham on top of that, some lettuce, two slices of tomato and then cap it with that slice with the mustard on it. Good sandwich, right?\n\nDefinitely if I eat it right away. But if I leave it on the table for a while, that top slice of bread might get soggy from soaking up some of that tomato. It's a problem I didn't quite anticipate, and I might make sandwiches for years before noticing, but once I do, I can start thinking of ways to change my algorithm in order to build a better sandwich.\n\nFor example, I could get rid of the tomato. But I don't want to lose that tomato taste. So instead, I can put the tomato on the sandwich after the bread and the lettuce. This allows the lettuce to form a protective barrier between the tomato and the bread.\n\nThis is how an algorithm evolves. And an algorithm doesn't have to be run by a computer to be an algorithm. An algorithm is a process, and processes are all around us.",
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