Spotting and solving everyday problems with machine learning

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Title	:	Spotting and solving everyday problems with machine learning \| Session
Lasting	:	12.43
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Views	:	139 rb

How to convert conversational video to text by each person talking in video?
Comment from : Dhiraj Patra

📺💬 That is maybe the word step for machine learning to look at it by text search by Fuzzy logicbr🥺💬 That is possible when the machine learning knows which information is important and that is because you aim for the result yes it will look at the text searchbr🧸💬 Similar to the game input there are scores, rewards, a queue of the input screen, and gameplay conditions outputsbr🧸💬 To start learning the machine need to know which information is important for game it is a time stepbrbr📺💬 Look at his commentsbr🥺💬 It is not a direct comment to your methods but see some reflection of my working solution it is ok⁉ They keep lies about those works but I do not pay much attention on them because I working on my solutionbr📺💬 Body alignment, it is CV2br🥺💬 I see that but I am not trying to show about my work compare to CV2 I solved the problem to a solution without it when he try to use CV2 to solve and there is the final solution everyone can do that is my answer The problem is, it is game and with personal computer as original framerates and screen resolution it cannot solve the problem with out delays I use only few convolution layers show him how it can do and you can do it better with a high-performance computer ( not direct comment to the post but show a solution that does not required expensive calculation power with few conv layers )brbr🥺💬 And I see your example I will look at the example on Tensorflow as you recommend, I study from the websites too
Comment from : Jirayu Kaewprateep

Wow, amazing video, very inspiring! I liked how you explained how to use Machine Learning to solve real world problems 🤩I like the approach you did and the projects using Google Cloud Tools, everything amazing!brPD: It's so nice you have a lot of recordings of your childhood and now you cand find them easily 😁
Comment from : Luis Mario Rivas Hernández

2:30 - finding specific memories in videosbr6:19 - semantic reactor - google sheets br7:31 - Universal sentence encoder
Comment from : Second Brain Tutoring

This is not a video explaining what ML can do but an advertisement for what Google product can do with MLbrbrTypical advertisement company 🤣
Comment from : MalliPoo Alwa

Really helpfulThanks!
Comment from : Manoj Pawar

0:30 intelligence modesty 6:35 fuzzy matching + Google sheet tool semantic 7:20 and before : fuzzy matching 10:45 tennis service 11:23 tracking
Comment from : Peter MOUEZA

How can I learn algorithms to do myself? I don't want to use ready-made service, Instead, I want to learn to develop on my own
Comment from : Nurujjaman Pollob

amazing video
Comment from : None none

I loved loved loved this video!
Comment from : Sanskrati Gupta

Amazing
Comment from : Yash Joshi

The information density of this video is excellent! Really liked how you squeezed in so much into a relatively short video
Comment from : Kartik Ayyar

AI engineer? So you play with something that does not exist
Comment from : Podunk Man

Well I think this is best video so far I saw on why so much fuzz out there about ML
Comment from : Ram Kul

Wow, fantastic, thank you!br💥
Comment from : Matt Dunn

Eye opener introduction to TF application
Comment from : daniel too

Since you brought it up Why are tech related content from India?
Comment from : John Dee

Very awesome video !!
Comment from : Eustaquio Santimano

Great video on machine learning application and very relatable
Comment from : Sunia Vosikata

Superb video! Makes you yearn to learn more and more ❤️
Comment from : Mech Arena Stuff

0:22 "Machine learning is this completely new thing of getting computers to do things"brbrWhatt??!!?? The term itself was coined in 1959 Linear regression dates from the 1890s, and PCA was introduced in 1901 Machine learning is older than modern computers!
Comment from : Max Turgeon

I just loved every bit of this video
Comment from : Anurag Sharma

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
Comment from : William Dye

I have ZERO knowledge of ML and AI but found this video interesting It may sound like a dumb question but what if videos don't have external tags, transcripts, and descriptions with them How would you make sense of them using ML & AI tools? Thank you
Comment from : Harit

Nice video which deserves a likebut Dale you have one privilege which I - as a common man - don’t havewhich is you don’t have to pay for GCP services coz you work there 😊 …even the free tier does not help much-tell your bosses to make it affordable …
Comment from : A F

Loved it
Comment from : OV

Better use isolated virtual environment when testing the AI solutions
Comment from : TomaszKiraga

Very useful content fluently presented in a clear and personable style (I'll be trying the video translation)
Comment from : Nick Staresinic

<3 <3
Comment from : Dalia Marzouk

Will I own my wordsthat I speak
Comment from : Joseph Swafford

Great Work I've left earththanks for the cute family videos
Comment from : Joseph Swafford

You were a very cute child!
Comment from : Robert Evans

This is like sorcery
Comment from : spiralni

step one: share your entire life with googlebrstep two: do stuff
Comment from : ZapOKill

AI newbie here Wow Just wow! You had me since the AI read the icing on the cake
Comment from : Luis Hernandez

good to see 'apple' and 'garbage can' is so close in embedding space chart
Comment from : Nilesh Kadam

Wow this is one of those ideas that I actually want to use
Comment from : Arseny Turin

As always, a great and inspiring video! Thanks a lot
Comment from : Alberto Marcus

India > hindi
Comment from : yogeshwarma

Well I am from India
Comment from : VEERENDRANATH N

Very inspiring
Comment from : Somdatta Bhattacharya

imagine handing over hundreds of hours worth of your childhood videos to google
Comment from : nomnom112

Watching your tennis serve example was really helpful This could be also applied to other sports toolike say shooting a basketball?
Comment from : kray97

Great talk Dale
Comment from : Marko Shiva Pavlovic

Amazing!
Comment from : Santosh Jha

What a great exposure to understanding how to start using and thinking about problems with machine learning Definitely going to check it out!
Comment from : Jacob Young

Wow I feel like garbage
Comment from : isaac gutierrez

Very cool Great idea about the applications of ML
Comment from : Indy Lawi

Loved it!!
Comment from : richy rocky

Great video and nice hindi translation What kind of mic you are using your voice is fantastic and very clear These are great example for ML Thanks for the video
Comment from : @rpit Patel

You should start you own youtube channel
Comment from : Straddle Scout

Is all this stuff available for the public or do you have to be a google developer, to have access I wonder if you would do a walkthough of one of your demos, showing exactly how it's put together
Comment from : chris Bruner

Nobody: brGoogle: Now I can relive those moments too
Comment from : pallav bakshi

One of the most beautiful advertisement I saw todaybrThought it was about ML and not about selling Google products (and giving him the few spare things don't have yet)
Comment from : Perdritto

This is ML for dummies when you already have a gigantic dataset provided by google itself through peeking in all of our data and all those VERIFY YOU ARE NOT ROBOT questions
Comment from : Tomás Brstilo Franklin

that hindi segment was pretty bad but alright for a machine lol
Comment from : Anant

A lot of your viewers are from India and you don't speak a lick of Hindi? Don't worry Many Indians don't either You should try making ML algos to try other Indian languages like Malayalam, Tamil, Bengali and so on :)
Comment from : Vimal James

What a great presentation! This is blowing my mind I feel like a kid at a candy store So many possibilities! Thanks!
Comment from : A B

This is a great vid
Comment from : Hari Anugrah

Wow I like her😌
Comment from : Angsuman Das

Why doing this this ml will make many jobless, work that human can do why to use machine for that, this will not only make them jobless but their children will also not be able to educate and at last the country will suffer and the company will run away to another country to make moneyJust that machine can do complicated task so what look the politicians they dont do anything but still they are employed
Comment from : Pranshu Gautam

You actually solved a serious problem Thank you so much!
Comment from : sonicesb

Awsome, I can now finally understand my boss's unorganized stock system that he used up to 10 different descriptions for the same item!! Youtube algorithm is doing a fantastic job this time
Comment from : Kevin Lim

That hindi translation wasnt what i would say good brbecause it uses too pure hindi (ig thats what you call it) i mean it doesnt uses our day to day language i mean it sure does use hindi but it isnt the hindi we use in our day to day communication brbrits same as brjust because your mother tongue is English it doesnt mean you can understand oxford level englishbrbri hope i was able to convey my message
Comment from : Drac

This was great, but what about doing ML for free, without the cloud?
Comment from : NotWearingPants

Look I teach you how to serve if you help me with some AI issues
Comment from : LEndy

How are you tracking position of your skeleton, you wrist, elbows, shoulder etc in a video?
Comment from : Avichal Sharma

Great demo!! Thanks for sharing
Comment from : W Steven

apple near garbage can😂😂
Comment from : Rahul sucks at life

Where is all the repository stored, it’s it in key value format ?
Comment from : Prasad Gujar

How much do they charge for translation api
Comment from : DIY AND ASSEMBLING

hey that hindi audio didn't make much sense but ok we get your point Machine learning is cool and all :D
Comment from : Yush(dot)Pi

Purely inspiring! Dale Markowitz you should start your own YouTube channel!
Comment from : Abhishek Gidde

Can any one use these tools for free?
Comment from : Vincent Jr

Semantic Reactor is great!
Comment from : TheMrBougna

Really amazed by Google Machine learning tools and your presentation skills👏👏 I'm looking forward to learn Google ML tools brbrEdit: That Hindi translation was too short to be judged for its accuracy, but the idea and the translated voice was quite impressive though Google translated English text is not always that accurate It has improved a lot though
Comment from : Harsh Sharma

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
Comment from : Nitin Garg

I liked this video by Dale the presentation is simple and excellent I feel it engaging and immersive though I m non tech background
Comment from : TSN

Do you have an estimate of how much it would have cost you on Google cloud for all that?
Comment from : Workflow In Mind

apple similar to garbage can got it
Comment from : mdzafri

cool how apple and cloud are close to garbage
Comment from : mario141230

You rock hindi
Comment from : The Code Blooded

I used python to convert text into speech once in a tiny project and it worked well that was easy too !!
Comment from : Aravind Chandran

Solving problems with Marxism Leninism
Comment from : Taylan Tapar

hunger is everyday problem can it be solved?
Comment from : Rastapopolous

This is a nice ad for google cloud But living in Germany, all I could think of is google peeking into my life and stealing my secrets
Comment from : Jingrui Yu

thank you i can see it now whereto use Ai but i need to learn it
Comment from : assid a

I think supercomputer is required to train this model??, Can anyone
Comment from : Abhinav Baad

Ok can download and add Skype
Comment from : J T

AGI will be here even earlier than 2030
Comment from : Venture strategies

By seeing this video I am sure doctors are going to be 75 replaced by 2030
Comment from : Venture strategies

This is such a good video!
Comment from : The Korbi

Can we use this as projects Of Machine learning
Comment from : parag chavan

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 😲
Comment from : Kyle Pandapatan