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How Google Uses Machine Learning (Behind the Scenes)

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How Google Uses Machine Learning (Behind the Scenes) Introduction Think about the last time you Googled something. You typed a few words, hit enter, and within seconds you had a list of results that actually made sense. That feels normal now. But behind that simple search box is one of the most sophisticated machine learning systems ever built. Google processes around 8.5 billion searches every single day . That is not a typo. Every second, over 100,000 people around the world are typing something into Google. And every single one of those searches is being ranked, filtered, and personalized by machine learning, not by humans sitting at computers. But here is the thing most people miss: Google Search is just one small piece of this. Machine learning quietly runs inside Gmail, Google Photos, Google Maps, YouTube, Google Translate, Google Assistant, Android, and Google Cloud. You use it dozens of times a day without ever realizing it. In this post, we are going to pull back the...
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7 Real-World ML Applications (That Make Money)

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 7 Real-World ML Applications (That Make Money) INTRODUCTION Netflix makes thirty billion dollars every year. Do you know how money Netflix gets from the movie and show suggestions it gives to people who use it? Some people think that seventy to eighty percent of the things people watch on Netflix are things that Netflix suggested to them using machine learning. That is around twenty to twenty four billion dollars that Netflix gets from machine learning suggestions. Amazon has a way of suggesting things to people who use it. The systems that banks use to catch people who are trying to cheat them are also saving them a lot of money every year. The thing is, machine learning is not an idea anymore. It is not something that will happen in the future. Machine learning is being used now and it is making a lot of money for real companies that are doing real business. Most people do not know how much machine learning is being used. They think that machine learning is about computers that ...
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AI vs ML vs Deep Learning: Know the Difference

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 AI vs ML vs Deep Learning: Know the Difference INTRODUCTION You've seen and heard the words everywhere. AI is going to transform the world. Machine learning is the way of the future. "Deep learning is revolutionizing technology." Here's the issue, though: Most people use these terms synonymously.  They use the word "AI" and literally mean "ML. A chatbot is referred to as "deep learning.  It's not "when it's not what it seems, it's when it's not what it seems". And honestly? It's confusing. Even techies get confused!  them up. The good news is the differences are easy to make. Once you understand  With them you'll never be confused again. During the following 7 minutes, you will discover: What is AI, ML, and deep learning and their differences? The difference between AI, ML and deep learning. Their relationship to one another (the hierarchy) - Examples in the real world of each Which one is truly important for YOUR...
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What is Machine Learning? (Explained Simply)

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 What is Machine Learning Every day you use machine learning. You are practicing machine learning every day. If there is a show on Netflix list of things they think you will like or when Gmail keeps the spam emails out or when you unlock your smartphone with your face you use face unlocking on your smartphone.. When Spotify suggests a song that you really like that is machine learning too. What if someone asked you "What is machine learning?" Now how would you answer that in one sentence? Most people do not know what to say because machine learning seems like a thing to learn. However here is a secret that not many people know: machine learning is not that hard to understand. You will see that machine learning is actually pretty simple. Over the 6 minutes you will learn about machine learning. By the end you will understand machine learning completely. We will explain the ideas of machine learning and show you how machine learning works and why machine learning is important, ...
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