MLOps for Time Series in Production
52 min

MLOps for Time Series in Production

MLOps World - MLOps World & Generative AI World 2024
Eddie Mattia
mlops time-series machine-learning data-science python xgboost metaflow outerbounds batch-inference data-modeling postgresql kubernetes ci-cd
GenAI ROI: From Pilot to Profit
33 min

GenAI ROI: From Pilot to Profit

MLOps World - MLOps World & Generative AI World 2024
Ilyas Iyoob
generative-ai genai roi artificial-intelligence machine-learning mlops enterprise-ai pilot-paralysis scalability data-science business-intelligence
Fast and Reproducible: Taming AI/ML Dependencies
30 min

Fast and Reproducible: Taming AI/ML Dependencies

MLOps World - MLOps World & Generative AI World 2024
Savin Goyal
mlops ai ml dependency-management python conda pip docker reproducibility metaflow data-science ml-stack
Driving GenAI Success in Production: Proven Approaches for Data Quality, Context, and Logging
30 min

Driving GenAI Success in Production: Proven Approaches for Data Quality, Context, and Logging

MLOps World - MLOps World & Generative AI World 2024
Alison Cossette
generative-ai genai rag data-quality knowledge-graphs mlops neo4j data-science embeddings cosine-similarity
Supercharge ML Teams: ZenML's Real World Impact in the MLOps Jungle
11 min

Supercharge ML Teams: ZenML's Real World Impact in the MLOps Jungle

MLOps World - MLOps World & Generative AI World 2024
Adam Probst
mlops machine-learning zenml pipelines experiment-tracking reproducibility scalability collaboration deployment python cloud-deployments data-science
The Wheelhouse of Horrors
25 min

The Wheelhouse of Horrors

PyCon - PyCon US 2023
Laszlo Kiss Kollar
python c-extensions binary-wheels packaging manylinux cibuildwheel data-science machine-learning native-code distribution
Getting Around the GIL: Parallelizing Python for Better Performance
31 min

Getting Around the GIL: Parallelizing Python for Better Performance

PyCon - PyCon US 2023
Alireza Farhidzadeh
python gil parallelization performance multiprocessing threading data-science cpu-bound concurrency multithreading
It Might Look Normal But This Distribution Will Ruin Your Stats
29 min

It Might Look Normal But This Distribution Will Ruin Your Stats

PyCon - PyCon US 2023
Allan Campopiano
python statistics data-science robust-statistics data-analysis hypothesis-testing statistical-modeling data-visualization numpy pandas deepnote
XGBoost para Clasificación: Construyendo Modelos Precisos y Eficientes
36 min

XGBoost para Clasificación: Construyendo Modelos Precisos y Eficientes

PyCon - PyCon US 2023
Laura Funderburk
xgboost classification machine-learning python data-science model-building hyperparameter-tuning feature-importance gradient-boosting wine-quality
Trying No GIL on Scientific Programming
30 min

Trying No GIL on Scientific Programming

PyCon - PyCon US 2023
Cheuk Ting Ho
python gil scientific-programming data-science performance multithreading cpu-bound sam-gross cpython pca clustering scikit-learn pandas
Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments
27 min

Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments

PyCon - PyCon US 2023
Rob de Wit
jupyter-notebooks machine-learning ml-pipelines reproducible-research data-science git dvc experiment-tracking python stable-diffusion
Pythonic Functional (iter)tools for your data challenges
33 min

Pythonic Functional (iter)tools for your data challenges

PyCon - PyCon US 2023
Valerio Maggio
python functional-programming data-science machine-learning itertools functools map-reduce advent-of-code data-processing iterators