As a developer, when should you use machine learning (ML) and what’s the quickest way to integrate it into your app? In this Session, you learn to spot the most common ML use cases including analyzing multimedia, building smart search, transforming data, and how to quickly build them into your app with user-friendly tools. We use ML to intelligently search through videos and articles, analyze your tennis serve, translate and dub videos, and more using tools like Google Cloud, Firebase, and TensorFlow. Resources: Dale on AI → Google Cloud AI → Speaker: Dale Markowitz Watch more: TensorFlow at Google I/O 2021 Playlist → All Google I/O 2021 Technical Sessions → All Google I/O 2021 Sessions → Subscribe to TensorFlow → #GoogleIO #Ml/AI #Firebase #Cloud product: Firebase – General, TensorFlow – General; event: Google I/O 2021; fullname: Dale Markowitz; re_ty: Premiere;
Artificial Intelligence in Everyday Life with specific examples how Artificial Intelligence affect our lives? AI affects our life everyday in many ways behind the scenes. AI improves productivity and enjoyment. Artificial Intelligence Everyday Life From when you get up in the morning until you go to sleep, AI guides your behavior, purchases, activities, productivity, and entertainment. There are more than 100 examples of everyday Artificial Intelligence to help you understand how AI affects your life. I wrote this myself. #ArtificialIntelligence #AILife *The views expressed here are those of my own, and do not necessarily reflect those of the United States Special Operations Command, United States Air Force, or the Department of Defense*
The questions: What is machine learning in data science & what is machine learning used for are a bit ironic since the ML algorithms of youtube are what determined to show you this video in the first place. On this video you will learn the science behind ML or machine learning and a.i or artificial intelligence and what they are used for. Deep learning is another concept that we will focus on another video. Machine learning and ai on the other hand are going to shape the future of our lives since they are being used in the 21st century global economy. Data scientists will have more oppurtunities to focus their attention on creating ML artificial intelligence systems. We’ve already seen “Sophia” an A.I Robot that responds intelligently on peopl’se questions. This will become the norm as machine learning develops in the coming years. Watch the video to learn more about ML and data science. #ML #MachineLearning #DataScience SUBSCRIBE to our channel “Science Time”: SUPPORT us on Patreon: BUY Science Time Merch: Sources: “Sophia the Robot on CNBC International TV” Future of ML Music Credits: CO.AG Music SoundTrack 1: “Background Music 4”
Artificial Intelligence In Real Everyday Life. Every single one of us encounters artificial intelligence multiple times each day. Even if we aren’t aware of it, artificial intelligence is at work, often behind the scenes, as we go about our everyday lives. If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, AI and Key Performance Indicators. Visit the Artificial Intelligence & Machine Learning topic page Thanks for watching!
While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives.