Made-With-ML
practical-mlops-book
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| Made-With-ML | practical-mlops-book | |
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| 51 | 1 | |
| 35,610 | 612 | |
| - | 0.0% | |
| 6.8 | 0.0 | |
| 5 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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Made-With-ML
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[D] How do you keep up to date on Machine Learning?
Made With ML
- Open-Source Production Machine Learning Course
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Advice for switching careers within analytics
- Develop a (simple!) ML project and apply MLOps best practices to it. Ask Chat GPT all of your MLOps questions. I've joined this MLOps community and it has been very helpful to know what path to follow in order to be better at MLOps, thanks to them I arrived at madewithml, but I haven't done it yet. But it covers all the MLOps side.
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Recommendation for MLOps resources
Hey, I’m also working in ML. Here’s a great resource: https://madewithml.com. Also, check out Noah Gift’s book Practical MLOPs.
- Ask HN: Resource to learn how to train and use ML Models
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Need help to find resources to learn ml ops
Try replicating this setup: https://madewithml.com/
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MLops Resources
madewithml
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Ask HN: How do I get started with MLOps?
There's a really nice website by Goku Mohandas called Made With ML. IMO it is the best practical guide to MLOps out there: https://madewithml.com
Incase you want to dive a little deeper, https://fullstackdeeplearning.com/course/2022/ is also something I have been recommended by folks.
- Resources for Current DE Interested in Learning Data Science
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Do organizations still need machine learning engineers?
madewithml is pretty sweet, especially the MLOps side of things. It'll give you good skills in how development in Python and deploying ML works.
practical-mlops-book
What are some alternatives?
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
mlops-zoomcamp - Free MLOps course from DataTalks.Club
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
aws-ml-guide - [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Copulas - A library to model multivariate data using copulas.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling - Repository for my Master's Thesis "Application of Machine Learning Models within Credit Risk Modelling" at Faculty of Finance and Accounting, Prague University of Economics and Prague (FFÚ VŠE)