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Tag: pydata
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