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Real-World ML by Pau Labarta Bajo
เข้าร่วมเมื่อ 1 ก.ย. 2012
Learn to build real-world ML products at realworldml.net
How to deploy a REST API to Kubernetes
Github repo
↳🔗 github.com/Paulescu/taxi-data-api-python/tree/main
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↳🔗 gimlet.io/
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↳🔗 github.com/Paulescu/taxi-data-api-python/tree/main
Sign up for FREE and start deploying to Kubernetes
↳🔗 gimlet.io/
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มุมมอง: 221
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How to train ML models in the real-world
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Comet ML ➡️ www.comet.com/signup? Subscribe for FREE to the Real-World ML Newsletter ➡️ www.realworldml.net/subscribe
Real-time ML without breaking the bank
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Build an AI coding assistant with Llama 3 - Step 4
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Build an AI coding assistant with Llama 3 - Step 4
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Build an AI coding assistant with Llama 3 - Step 3
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Wanna learn how to build an AI Coding assistant with Llama 3? www.realworldml.net/blog/build-an-ai-coding-assistant-with-llama3
Build an AI coding assistant with Llama 3 - Step 1
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Machine Learning Model Training
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Data preparation for ML (2/4)
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How to build an ML product (1/4)
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Feature engineering with Apache Kafka, Docker and Python
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3 real-world ML apps you can build TODAY
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How to deploy ML models to production
Let's build your first real-world ML app - No more excuses
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Let's build your first real-world ML app - No more excuses
Real time ML to predict crypto prices
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From Business Problems to Data Science Solutions
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Build a Real-time Embedding Pipeline for LLMs
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Hi Pau, Thanks for sharing this informative video. I can successfully deploy this repo in my local machine, whereas I am facing issue while deploy in Gimlet platform. My API is responding with detail not found & code 404 . Could you please advise how to fix the issue ?
Can you please share a screenshot?
Gimlet error Log: [taxi-data-api-python-84948554b-pwjsc/taxi-data-api-python] INFO: 10.42.1.2:49526 - "GET / HTTP/1.1" 404 Not Found [taxi-data-api-python-84948554b-pwjsc/taxi-data-api-python] INFO: 10.42.1.2:49538 - "GET /favicon.ico HTTP/1.1" 404 Not Found
@@realworldml Could you please share ur mail id ? I can send screenshot & error log file to you. Thanks
bro great explaination, however, the one in ur bg is distractiing
Just what I need. Thank you.
Hi Pau, I’m really interested in joining your course, "Building a Real-Time ML System Together." I’ve gained skills through self-learning, including handling datasets, training/testing models, selecting algorithms, tuning parameters, and evaluating their effectiveness, primarily using the scikit-learn library. However, I’m unsure if my current knowledge is enough to start this course, especially since I have no experience with deployment. Could you let me know if this is sufficient background to begin? I’m based in Manitoba, Canada, and with the 7-hour time difference, your live sessions at 11 AM CET would be at 4 AM my time. On top of that, I have a full-time job and kids, so I would need to rely heavily on the recorded coding sessions. Given my circumstances, would you still recommend the course? Are the recordings comprehensive enough for someone in my situation to follow along without attending live? Thank you for your time, and I’m looking forward to hearing your thoughts! Best regards,
Hi Rahat, Sorry for my late reply. I have not been very active on TH-cam lately. Based on what you have done so far, I think you are prepared for the challenge. I also have kids and I understand you completely. Every session is recorded in high-definition, so you can follow at your own pace. When you purchase the course you get access to all previous recordings (so far 2 cohorts, where we built a crypto price predictor system), and future cohorts, plus all source code. Next cohort is in December, and I am planning to solve a different problem. We will build a real-time system to predict Estimated Time to Destination for taxi rides. Such a system is used by companies like Uber or Lyft, and I want to show you step by step how to build if from scratch. It will be a 4-week fun ride. Let me know if you have more questions, Pau
Which are the main differences between comet and MLFlow?
Concise, to the point and very useful. I am learning and enjoying your videos. Do you accept any ideas for the videos?
Yes, absolutely
When i try to make upload_dataset_to_beam i get this Try 'beam volume -h' for help. Error: No such command 'upload'. make: *** [upload_dataset_to_beam] Error 2 help please?
Great content Paul
Please can you recommend a good ml course for beginners
Very helpful
Glad to hear that
Very cool! Thank you very much for sharing! I started using Giskard just recently and it seems to be a fantastic framework/package. Would be really cool to see more tutorials on it :) Thank you again!
Thank you for your explanation. I'm running into a problem where I'm getting an "Action: undefined" error in a PR comment, along with these specific errors: Line 30: Error: TypeError: Cannot read properties of undefined (reading 'includes') Line 31: Error: Cannot read properties of undefined (reading 'includes') Could you help me understand how to fix this?
Bona feina Pau!
I want to learn machine learning project practical
Check this out -> realworldmachinelearning.carrd.co
❤
ring is annoying
Thanks for the feedback
yeah, great work, but please use another chime sound
This is exactly the kind of quality advice that Data Scientists should know as early as possible! We should ask the right business questions that has impact before diving into building models! Love your content, straight to the point and very helpful! Subscribed!
Thanks for sharing such positive feedback 🤘
great content pau.
Thanks @kalokola 🏋️♂️
Pls can you create end to end mlops
I have done that already, it is here realtimeml.carrd.co
Awesome, you rock with the explanation, we have a challenge at work and I think we could use Kafka + Quix, thank you very much
dude why does this assume that I would be running it on a linux based machine???
bro great video, i really enjoi it, thank u, but bro, at 1:40 my heart told me bye, why it so scary there uh
Sorry about that
So how would you suggest we follow this video or the course. Should we just clone the repo and keep running the code? Should we create a new repo and start adding all the files from scratch? I am confused and lost, please help!
Great format. You have. Niche here. The 6 minute format is perfect for consuming and gives enough detail for me to know enough and follow up myself
Glad to hear it!
Hi, Please monetise your channel, I turned off the adblockers just to view your video, thanks. Do you have any course on Spark, Flume, Beam? Please do let me know.
I dont plan to monetize it. I want the content to be accessible to everyone. I dont have any course on these technologies
@@realworldml you're a real hero. It would be awesome to have you as a mentor. How can I do that?
This video is good no question about it and thank you for this awesome video but I humble request to the author of this video that please do not do the transition video sound like 1:22. IDK but it hurts my ears.
Thanks for the feedback
Boss 💪🏾
Thank you for inspiring. I have zero experience and knowledge in coding. What is your advice in where to start?
Practical FYI: One of the largest challenges is to actually get meaningful data streams from products and the often naively written CRUD products by full stack engineers. There is an open source project called “Debezium” that allows to create change and event data from database changes. For the other way around, where a complex Kafka stream system already exists, there is a project called “Materialize” which makes feature engineering (combining many streams) much easier than writing it imperatively in code. For finding interesting relationships in event streams, there is also a project called “Memgraph”. Maybe this info helps for the most common challenge to actually get to meaningful data ❤️ subscribed
Good video but it would be great if you could type the code and explain what the code is actually doing, instead of just showing snippets. I would hate to watch a longer more elaborate 20 min video. Hoping for more content like this this
Please please please make an end to end project video or course to explain in practical. You are great in explaining. If you will not, please recommend resources or courses to learn MLOps
Can you do one complete project for MLOps ( development and deployment) ?
Yes, here it is -> realworldmachinelearning.carrd.co
yaa, really helpful content about production for beginners , thanks a lot
Great explanation, But would be alot better & helpful for beginners if u show a working demo as well.
Great suggestion! Here is the full source code of a demo I prepared github.com/Paulescu/real-time-data-pipelines-in-python
thanks..but you should have shown the process practically, good info though
Ok next time. Thanks for the feedback
please add all videos about ML production in one playlist, thanks for awesome real world content
Will do soon, thanks for the suggestion
This is great.. but I wonder why ppl still insist on using docker. These folks changed their business model years ago. Even the free model has limits: 200 image pulls per 6 hours. Now as far as poetry is concerned I use it everyday!
learned a lot from your videos Pau. Do you have a starter course I could take in order to learn MLOPS and deploying machine learning models into production? I already know how to train an ML model, and deploying it to production is quite a headache for me. Thanks :D
I am very happy you found value in the videos. I do have a hands on course that will help you bridge the gap between ml model prototypes in notebooks and fully working ML systems realworldmachinelearning.carrd.co
@@realworldml Thanks Pau. I'll definitely check this out. more power to you!!
Why not Google Colab?
Same code structure applies whether you develop in a colab runtime, your local laptop or a paid AWS instance
Jupyter is a one dimensional document. Software has teste, code coverage, functions and methods share between different parts of the system etc etc Jupyter is great for presenting runnable results. But not maintainable code bases.
Thanks Pau and Paul, great tutorials! May I ask why we're using this setting "PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring"?
Suggestion: a video on how to read the metrics and understand the model behavior, and how to fix it by going back to your data And how you really decide which model should go to production, Before you really go to production!
👍🏿
Very precious video, 3 years of experience in less than 10 minutes! I hope juniors find this gem.
I hope so too!
Thanks for the feedback
Hi, thanks for pathway btw can we modify pathway with google AI API key
Yes, you can. Pathway is a real time data processing engine that you can integrate with external APIs like Google’s. What do you want to build?
@@realworldml I want to build a chatbot for my college which can answer local question such as what is MA101 credit etc
Time series data was not generated in the previous video, only the problem was framed. Am I missing something?
Correct. This series is an overview of the key steps. The whole hands on course and code is available as part of the Real World ML Tutorial www.realworldml.net
nice job! my KTH
'PromoSM'
Thanks for your videos! Great stuff. I'm looking forward to more.
More to come!
could you please provide the link to the dataset, I will be grateful
Link to the raw data -> www.nyc.gov/site/tlc/about/tlc-trip-record-data.page
Very good information. Thank you bro!
Glad it was helpful!
I love you content man, keep it up! Really concise and living up to the name of Real world ML🎉 Hoping to have and watch your end-to-end project tutorial playlist
Thank for your kind words Rodney 🚀