Pau Labarta Bajo
Teaching Real World ML at https://t.co/xWr8Hm8zI5 - ML Freelance engineer - Maths Olympian - Father of 1.. sorry 2 kids
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3 years ago I struggled to land my first freelance ML engineering contract. Then I discovered this β https://t.co/d6B4hMDTFG
"An ML model with better offline evaluation metrics is a better model in production." But is it really? π€ Here are 4 steps to test if your ML model is better than the one running...
Looking for effective ways to learn MLOps? Forget theory and get your hands on a real-world problem π§ Here is a project you can build (for free) using Python π©π½βπ»π¨βπ»βββ
Wanna become a professional data scientist? π©πΎβπ¬π¨βπ¬ One that feels - knowledgeable π§ - confident π - and ready to charge well what she knows? π° Here is what you should do (spoile...
Training an ML model inside a Jupyter notebook is something every data scientist knows ποΈ But do you know how to create a real-world ML service that makes a difference for the com...
Machine Learning students try more complex ML models when they wanna improve their results. So they miss the elephant in the room π βββ
Wanna learn time-series forecasting? π No more reading blog posts. It is time to forecast for real π Here is a project you can build π©βπ»π§π½βπ»β
Wanna land a data science job? Build ONE project that solves ONE real-world problem π 3 steps to find the right problem for you π€β
Wanna build ML models that generate business value? π You need to think beyond "abstract" evaluation metrics (like mean-squared error or accuracy). Add business metrics to the c...
Wanna learn MLOps? Stop reading blog posts. Build a prediction service instead π Here is a project you can build (for free) π©π½βπ»π¨βπ»βββ
Stop shooting in the dark π Start building data science products that SOLVE business problems in the real world ποΈπ° And this is how you do it β
Junior data scientists are told the problems they need to solve πΆ Senior data scientists find the problems that need to be solved π Here is how they do it βββ