End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]

[@lifelonglearning4379]

Mike, Great video and github repo is great. Noticed the current version of repository (as on 10/09/2024) has some differences from the one taught in the class.

[@curtismyers8621]

Thank you! Finally, someone who explains the why to each concept. Thank you so much for supplying what I was missing to make the mental connections!

[@TheRidwanSpace]

already moved to MLOps engineer role, the github repo and videos help me a lot. Thanks mike

[@AngelDiMariaRM22]

Thank you for the playlist. Amazing quality. Just wanted to say that you are amazing and your content is appreciated.

[@sandymlgenai]

In love with your work! High quality content! It would be great if you could create content on other topics too!

[@regularSenseAppeal]

This was really quality. Thanks a lot. You made a superb job of explaining and hit the perfect balance of not too much and not too little.

[@rafalw8126]

Thanks Mike, I wish this tutorial was around when I first started trying to find my way around around Vertex AI. Whilst I enjoy finding out things by trial and error, the older I get the more I value my time and having someone to show me the first steps and explain what to watch out for is invaluable.

[@statmike-channel]

Thank you for acknowledging this. This is one of the reasons I decide to embark on this adventure!

[@antoninleroy3863]

@@statmike-channel Yes thanks a lot !

[@ronakbhatt4880]

Love the way he introduced himself!!

[@sauravanand6047]

Watched all the videos of the channel , very good Mike . I am so thankful to you .

[@statmike-channel]

I appreciate that! There should be more videos this Fall!

[@pauloandresuttioliveira6940]

Perfect way to onboard someone to Vertex AI, still. Thank you for the great work!

[@JohnWedderburn]

This is a great resource, looking forwards to checking out your other videos. Thanks so much for putting these up.

[@RussellMiller-e8f]

When modifying the version data using the suggestions (which describes false pos. false neg. and true pos.) located in the "labels" under model registry/evaluate/(selected label... i.e. '0' or '1'), where are the changes reflected (if any at all)? I don't see any changes being made to the dataset that the version was trained in after making changes. How can you use these changes and continue modifying the dataset alongside the changes made with the suggestions?

[@NeemiasBSilva]

Thank you Mike for the good overview!

[@vidhyapc]

Perfect tutorial to understand GCP ML

[@statmike-channel]

Thank You! This motivates me to make more videos soon!

[@muraki99]

Great video Mike.. Nice explanation on performance matrix also. End to end walkthrough of AutoML

[@eddieotudor9432]

Thanks Mike for such great content. I’ve learnt a whole lot from this. Cheers!

[@zakariajaadi8941]

this is awsome and you're amazing Mike !

[@aiautoglasscrm]

Thank you for making these videos, please continue to make more

[@statmike-channel]

Coming this Fall! Thank you for the postive feedback!

[@seanvw7905]

Great stuff! Enjoyed excellent explanations and following along with github repo clone. I would have a few questions. 1) since I changed a few lines in notebooks, what happens if I commit changes: is git going to try updating your repo? 2) I would like to see the underlying model architecture: how to see this? Perhaps answers coming in following vidoes.

[@jeffz7310]

wonderful tutorials, thank you Mike

[@DanieleCorradetti-hn9nm]

I liked the idea of end to end

[@paulsilva753]

Thank you. I really appreciate your effort. 😊

[@nuhilmehdy2437]

Great detailed tutorial. Thanks a lot Mike. Please, keep up the good work!

[@statmike-channel]

Thank you for the encouragement!!!

[@benjaminbascary8219]

Hi Mike! When you filming a new tutorial of no-code on the new AutoML Tabular training on Vertex AI Pipelines? Great content btw!

[@mshahid-mohana]

bravo... the content is brilliant. method is effective. larger "font_size" could have more convinient.

[@hamedmehrabi9243]

Awesome. Thank you Mike :)

[@chrismcintyre5209]

Thanks for the Video great stuff !!

[@FarukhKhalilov]

Great tutorial. Thanks for sharing. I have a question about how to create a batch prediction for the images. In your case you used the tabular data (where you used the BQ), but when I'm trying to make a batch prediction for images, it is asking me to provide JSONL format file. I'm a little confused providing JSONL file. Thank you.

[@statmike-channel]

Hi Farukh, I look forward to expanding these demos to also show text and image based ML. Until then I will try my best to answer you here in the KZbin comments. For an AutoML Vision Model through the console (similar to this video), the workflow ask for a name, the model, source path and destination path. The paths are to Google Cloud Storage buckets. The source is a .jsonl file in the storage bucket that has one line per image you want to predict. Each of these lines looks like {"content":"gs://path to image", "mimeType":"image/jpeg"} . Here is a link that may help: cloud.google.com/vertex-ai/docs/predictions/batch-predictions#batch_request_input

[@josealbert7806]

Awesome tutorial, thanks very much

[@AlexBurov-wk8my]

Thank you. Great video

[@ReynEngelbrecht]

Thanks man, this helped a lot.

[@jessicasarkar14]

this is amazing. thank you mike!!! 😍

[@pythontok4192]

Thank you, just wanted to check - after deploying the endpoint in vertex, there is no need to go through extra steps to have the REST API endpoint, right? For aws sagemaker, there is an extra api gateway with lambda step.

[@XxxRay3]

Don't get disheartened with the traffic you're getting or the the class imbalance of views vs. likes 😅, trust me many don't even know this playlist exists, plus many don't even know what MLops is. I've been looking for it for like last 2 months and dunno why KZbin algo didn't put this up for me before. Would suggest adding hastags maybe. Cheers 🤘👊🙌

[@statmike-channel]

Thanks for the tips! Working on a plan for promotion as the next series of video launches.

[@pythontok4192]

using automl do we know what models it is using behind the scenes?

[@cryptoking6148]

Mike you are F******* amazing

[@statmike-channel]

very flattering!! Not sure I can live up to this level of hype!

[@marlhex6280]

good job pal!

[@normdy]

Yo! Love your stuff!

[@rajmahalingam3936]

How to schedule a batch prediction job?/predict a number of records at a time after deployment?

[@priyamahajan85]

I wish if you could make a video on creating pipelines using Vertex Ai pipeline

[@statmike-channel]

There are already a few videos in this series that incorporate some basic pipelines. The repository linked in the description also has more example of advanced pipelines. Let me know if there is any specific part of pipelines you would like to see featured!

[@AlexBurov-wk8my]

24:10 - i thought that would be all the video. Waiting one hour for the model to finish training

[@priyamahajan85]

Mike, thanks for video.just a question-for batch prediction,do we need to do “deploy and test “ first and then do batch predictions ?

[@statmike-channel]

Hello Priya, You can skip the deployment to an endpoint and do the batch predictions. The endpoint is not required for batch predictions and runs as a separate job. Hope this helps!

[@priyamahajan85]

@@statmike-channel Thanks Mike for quick reply!

[@cryptoking6148]

@@statmike-channel wow it does makes sense now!

[@osvaldodvg]

I got a error making the training :( the traning job failed

[@tariqkhasawneh4536]

what if the raw data has to go through preprocessing steps before being fed to the model?

[@statmike-channel]

Hi Tariq, Any time you train a model, custom or AutoML service, you are taking a snapshot in time of inputs = training data. If you preprocess those inputs then those preprocessing steps would need to be replicated for using the resulting model for predictions. If you choose a method with built in preprocessing, AutoML or custom with built in preprocessing, then the model will include preprocessing steps as part of the model that also get replicated during prediction. A good guide for reviewing the automatic preprocessing done by Vertex AI AutoML can be found at this link: cloud.google.com/vertex-ai/docs/datasets/data-types-tabular

[@alice20001]

How do you actually get the model? Like: What architecture does it use? What are the weights?

[@statmike-channel]

Thank you for the question. I have this notebook in the accompanying GitHub repo that shows a method for extracting the model type and hyperparameters from Cloud Logging: github.com/statmike/vertex-ai-mlops/blob/main/02%20-%20Vertex%20AI%20AutoML/02Tools%20-%20AutoML%20Cloud%20Logging.ipynb

[@statmike-channel]

It is also now possible to have more direction over AutoML by using AutoML Workflows. I will add this on my next update pass for the AutoML series. A good documentation page to read about this is: cloud.google.com/vertex-ai/docs/tabular-data/tabular-workflows/e2e-automl

[@SimoneFoschi-e3j]

Thank you

[@GAURAVKUMARSVNIT]

I need to create a legal chatbot for indian context hence for that i need to do data collection that is going to be textual it can be Indian panel codes various court vertdict in pdf format various IPC section with punishment and similar registered crimes in any part of the country. so how can i collect that?

[@jimmydean4586]

I may have an astonishing project that does the impossible...I need a ML set up to take it to the next level... It took me forever to code the one of a kind tool but i really need a ML model to analyze it. I have not been able to get AI to work on it properly....probably because no one has EVER seen a data set like this .. i really need someone to help with this FULL NDA

[@georgesanchez7915]

Hello friend I am interesting in investing/trading in the stock market. Can you make another videos in how to train the platform in trading. Thanks

[@Alice8000]

LOL Look at the tab he has open! omg cancel this guy.