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!

101 A/B Tests for personalized News

A walk through the isolation forest

Annotating data the right way

Build Facebook's Prophet in PyMC3

Building a Multi-Core Apply Function for Pandas

Casual notes about Causal Stuff

Efficient Transfer Learning

Genetic Regex

Hacking Fitness

Having fun with Music and Keras

High on Cardinality, Low on Memory

How to expand your NLP Solution to new languages

Improving Machine Learning Workflow

Looking at Sound

Low to High Resolution

Online Machine Learning with Creme

Open-source City

Plant Factory: Sensor, Data, Machine Learning

Popping the Filter Bubble

Remember What You Learn (Spaced Repetition Model)

Robots for Football

Sentiment Analysis on Sustainability Reporting

SHAP and Beyond

Speech Synthesis with Tacotron2 and PyTorch

Text analytics on annual reports

The evolution of array computing in Python

The profession of solving (the wrong problem)

Uber's Synthetic Control

Using Markov Chain approximation to identify financial fraud

What's the uncertainty on your ML Prediction

Why our products and communities need our empathy

Let the AI Do the Talk: Adventures with Natural Language Generation

You don't need n dimensions when you have pandas

A Worked Intro to Scikit-learn

AI and algorithmic art

Good features beat algorithms

Pandas ecosystem 2019

Accelerating Single-cell Bioinformatics with N-dimensional Arrays

Applying Rigorous Machine Learning Methods in Business Strategy

Build and deploy a Python bokeh application on a Linux server

Deep Learning and Modern NLP

Deep Learning vs. Conventional Machine Learning

Does This Algorithm Have a Soul?

Efficient and Flexible Hyperparameter Optimization

Effortless APIs with Flash and AWS Lambdas

Exposing Dark Data in the enterprise with custom NLP

GPU Data Science with Rapids

How We Lie to Ourselves With Charts

Intro to Dash

Introduction to Data Analysis Methods in Particle Physics

Introduction to PyTorch

Machine Learning & Healthcare

Model Evaluation for Humans

Nasa Influence on Open Data Projects

Pandas and Plots for Data Analysis

Platform for Complete Machine Learning Lifecycle

Productionizing H2O Models with Apache Spark

Putting Tensor Flow Models Into Production

Responsible AI Practices: Fairness in ML

Smart Streams: A Real-time framework for scoring Big and Fast Data

Soss - Lightweight Probabilistic Programming with No Performance Ceiling

The necessity of pipelines in Natural Language Processing

Ursa Labs and Apache Arrow in 2019

Visual Diagnostics for More Effective Machine Learning

Words in Space

You Should Probably Be Doing Nested Cross-Validation

Your data fits in RAM: How to avoid cluster computing

PyTorch: a modern scientific computing library for Python

Bokeh: Using python for interactive data visualization

How to make your model happy again

Lies, damned lies, and statistics

Predicting future states using High Order Markov Chains

Scaling your Data infrastructure

Connecting PyData to other Big Data Landscapes using Arrow and Parquet

Keeping the grip on decoupled code using CLIs

Time series feature extraction with tsfresh - “get rich or die overfitting”

Data Science & Data Visualization in Python. How to harness power of Python for social good?

Affrontare le sfide del cambiamento climatico con Python

E.T. chiama Python

How to use pandas the wrong way

Jupyter: if you don't use it yet you're doing wrong

Word Embeddings for Natural Language Processing in Python

Svilluppare con python sull'iPad