A thank you to everyone who makes this possible:
5 Steps to Speed Up Your Data-Analysis on a Single Core
Can you Read This? (Or: how I Improved Text Readability on the Web for the Visually Impaired)
Come as you are: Transitioning from Science to Data Science
Do I need to be Dr. Frankenstein to create real-ish synthetic data?
Easy and flexible imaging with the Core Imaging...
How to Trust Your Deep Learning Code
Making MLOps uncool again
On Blocks, Copies and Views: updating pandas' internals
Optimize your network inference time with OpenVINO
Performing Content: Can NLP and Deep Learning algorithms predict reader prefere...
PPML: Machine Learning on Data you cannot see
Practical graph neural networks in Python with TensorFlow and Spektral
(Serious) Time for Time Series
Squirrel - Efficient Data Loading for Large-Scale Deep Learning
Transformer based clustering: Identifying product clusters f...
XAI meets Natural Language Processing
5 Things You Want to Know About AI Adoption in the Enterprise
5 Years, 10 Sprints, A scikit-learn Open Source Journey (Keynote)
A data scientist's guide to code reviews
Biases in Language Models
Challenge Accepted - How to Escape the Quicksand While Engineering a Computer Vision Application
conda-forge: supporting the growth of the v...
Data Science at Scale with Dask
deepdoctection - An open source package for document intelligence
Detecting drift: how to evaluate and explore data drift in machine learning systems
Do we really need Data Scientists?
Easily build interactive plots and apps with hvPlot
Efficient data labelling with weak supervision
Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit
Grokking LIME: How can we explain why an image classifier "knows" what’s in a photo...
Honey, I shrunk the target variable! Common pitfalls when transforming the variable and how to exploit transformations
Introduction to MLOps with MLflow
JupyterLite: Jupyter ❤️ WebAssembly ❤️ Python
Machine Learning Testing Ecosystem of Python
My forecast is better than yours! What does that even mean?
Overcoming 5 Hurdles to Using Jupyter Notebooks for Data Science, by the JetBrains Datalore Team
Predictive Maintenance and Anomaly Detection for Wind Energy
`python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn
Reproducible machine learning and science with python
Sankey Plots with Python
Secure ML: Automated Security Best Practices in Machine Learning
Slack bots 101: An introduction into slack bot-based workflow automation
Unclear Code Hurts
Unsupervised shallow learning for fraud detection on marketplaces
Using a database in a data science project - Lessons learned in production
What are data unit tests and why we need them
Your data, your insights: creating personal data projects to (re-)own the...
Beyond the basics: Contributor experience, diversity and culture in open...
Building a Sign-to-Speech prototype with TensorFlow, Pytorch and DeepStack: How...
Creating 3D Maps using Python
Data Apis: Standardization of N-dimensional arrays and dataframes
Fundamentals of relational databases
How a simple streamlit dashboard will help to put your machine learning model in production
Inpsect and try to interpret your scikit-learn machine-learning models
Introducing the Dask Active Memory Manager
Introduction to Uplift Modeling
Making Machine Learning Applications Fast and Simple with ONNX
Processing Open Street Map Data with Python and PostgreSQL
Rewriting your R analysis code in Python
Seeing the needle AND the haystack: single-datapoint selection for billion-poin...
sktime - python toolbox for time series: advanced forecasting - probabilistic, global and hierarchical
The Myth of Neutrality: How AI is widening social divides
The secret sauce of data science management
What I learned from monitoring more than 30 Machine Learning Use Cases
You shall not share!