Spotting and solving everyday problems with machine learning | Session

145,700

5,944 0

Published 2021-05-19

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 → goo.gle/3e0PfuI
Google Cloud AI → goo.gle/3xvTCFM

Speaker: Dale Markowitz

Watch more:
TensorFlow at Google I/O 2021 Playlist → goo.gle/io21-TensorFlow-1
All Google I/O 2021 Technical Sessions → goo.gle/io21-technicalsessions
All Google I/O 2021 Sessions → goo.gle/io21-allsessions

Subscribe to TensorFlow → goo.gle/TensorFlow

#GoogleIO #Ml/AI #Firebase #Cloud

product: Firebase - General, TensorFlow - General; event: Google I/O 2021; fullname: Dale Markowitz; re_ty: Premiere;

All Comments (21)

@ZapOKill 2 years ago

step one: share your entire life with google step two: do stuff
@KylePandapatan 2 years ago

I used to think ML would be daunting and boring. Instead, Dale’s enthusiasm and daily life applications of ML really illustrate that this can be fun and approachable. 😲
@RiteshNEVERUNIFORM 2 years ago

Google: who has their family videos since they were born? Dale: me me me !! google: ok you're doing our next TensorFlow video.
@georgeb8637 1 year ago

2:30 - finding specific memories in videos 6:19 - semantic reactor - google sheets 7:31 - Universal sentence encoder
@DenisTRUFFAUT 2 years ago

The elbow pose over time in the video is pretty cool.
@KartikAyyar 1 year ago

The information density of this video is excellent! Really liked how you squeezed in so much into a relatively short video.
@pallavbakshi612 2 years ago

Nobody: Google: Now I can relive those moments too
@GimmeMonie 2 years ago

Wow! I don't know much about ML, and this is really inspired me to know more about AI and ML. Thanks ❤️
@turpialito 2 years ago

AI newbie here. Wow. Just wow! You had me since the AI read the icing on the cake.
@jacobyoung6876 2 years ago

What a great exposure to understanding how to start using and thinking about problems with machine learning. Definitely going to check it out!
@bombastik87 2 years ago

One of the most beautiful advertisement I saw today. Thought it was about ML and not about selling Google products (and giving him the few spare things don't have yet)
@kray97 2 years ago

Watching your tennis serve example was really helpful. This could be also applied to other sports too...like say shooting a basketball?
@tintiniitk 2 years ago

Wow.. the first use case 'make multimedia searchable', I have discussed it with colleagues many times. I just didn't know that the solution is already almost there.
@fatinafiqah.y938 2 years ago

Very inspiring Dale! Thank you so much. I'm new in this ML world and it makes me wants to do more with it
@cassianocominetti7784 1 month ago

Amazing! Thank you Dale!
@danieltoo2008 2 years ago

Eye opener introduction to TF application.
@WilliamDye-willdye 2 years ago

2:30 Sparkly biiiiike! :-) I agree that finding such moments is an excellent use case. My barrier right now is the cost of encoding & cloud storage, but I look forward to searching through old home videos (and film) someday.
@nickstaresinic9933 2 years ago

Very useful content fluently presented in a clear and personable style. (I'll be trying the video translation.)
@davidhamilton7 2 years ago

This is so cool - it really illustrates a lot of key topics in ways that are useful and relatable. Thanks for sharing! You've also come along way from those first steps! ;)
@sonicesb 2 years ago

You actually solved a serious problem. Thank you so much!