Sitemap - 2023 - Real-World Machine Learning
Let's build your first real-world ML app
Real time ML for asset price prediction
The Data Science skill no one talks about
Wanna land an ML job? Then do this ↓
How to deploy a real-world LLM app
Real-time embeddings for LLM apps ⚡🤖
3 skills to land an ML job in 2024
How to test LLM apps in the real-world
Build a virtual assistant with real-time LLMs
📣 Lesson 2 of the Hands-on LLM course is out!
Fine tuning pipeline for open-source LLMs
The MLOps project that gets you the job
Let's build a real-world ML app with LLMs
How to generate a Q&A dataset in less than 30 minutes
How to Fine-tune a Large Language Model
Don't know how to deploy an ML model?
RWML #037: Build and deploy an ML REST API in 5 steps
RWML #036: Modular Real-time Feature Pipelines in Python
RWML #035: From ML prototypes to ML products
RWML #034: Automatic Model Re-training
RWML #033: Keep your ML spending under control
RWML #032: What does a Data Scientist do?
RWML #031: Real-time ML with Python
RWML #029: Deploy models painlessly
RWML #028: 4 steps to build real-world ML products
RWML #027: 4 steps to build real-world ML products
RWML #026: 4 steps to build real-world ML products
RWML #025: 4 steps to build real-world ML products
RWML #024: LLMs in real-world projects
RWML #023: How to solve ML problems in the real-world
RWML #022: Feature backfilling with Prefect and Hopsworks
Real-World ML #021: How to become a professional ML engineer
Real-World ML #020: Jupyter notebook tricks
Real-World ML #019: Deploy a real-time feature pipeline to AWS
Real-World ML #018: How to become a TOP ML engineer
Real-World ML #017: How to build a real-time feature pipeline
Real-World ML #016: Serverless ML
Real-World ML #015: Feature pipelines for ML
Real-World ML #014: It is time to build 🏗️
Real-World ML #013: How to start your own real-world ML project
Real-World ML #012: How to build your first real-world ML service