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...

Career Panel

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!