- How to Speed Up XGBoost Model Training - Dec 20, 2021.
XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.
Machine Learning, Performance, Training, XGBoost
- Make Pandas 3 Times Faster with PyPolars - May 31, 2021.
Learn how to speed up your Pandas workflow using the PyPolars library.
Pandas, Performance, Python
A Rising Library Beating Pandas in Performance - Dec 11, 2020.
This article compares the performance of the well-known pandas library with pypolars, a rising DataFrame library written in Rust. See how they compare.
Data Processing, Pandas, Performance, Python
- KDnuggets™ News 20:n37, Sep 30: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy - Sep 30, 2020.
Learn how to work with time series in Python; Tips for improving Machine Learning model accuracy from 80% to over 90%; Geographical Plots with Python; Best methods for making Python programs blazingly fast; Read a complete guide to PyTorch; KDD Best Paper Awards and more.
Accuracy, Geospatial, KDD, Performance, Python, PyTorch, Time Series
- Performance Testing on Big Data Applications - Aug 21, 2020.
You can use performance testing in any application you’re working on but it’s especially useful for big data applications. Let’s see why.
Applications, Big Data, Performance
- 9 Tips For Training Lightning-Fast Neural Networks In Pytorch - Aug 9, 2019.
Who is this guide for? Anyone working on non-trivial deep learning models in Pytorch such as industrial researchers, Ph.D. students, academics, etc. The models we're talking about here might be taking you multiple days to train or even weeks or months.
Neural Networks, Performance, PyTorch, PyTorch Lightning, Tips
XLNet Outperforms BERT on Several NLP Tasks - Jul 1, 2019.
XLNet is a new pretraining method for NLP that achieves state-of-the-art results on several NLP tasks.
BERT, NLP, Performance
- The Four Levels of Analytics Maturity - Mar 26, 2019.
We outline our four-step model to categorize how successfully a company uses analytics by its ability to show the analytics, uncover underlying trends, and take action based on them.
Analytics, Business, Deployment, Performance, Visualization
- Deep Learning Performance Cheat Sheet - Nov 8, 2018.
We outline a variety of simple and complex tricks that can help you boost your deep learning models accuracy, from basic optimization, to open source labeling software.
Cheat Sheet, Deep Learning, Performance
- Interview: Paul Robbins, STATS on the Potential and Challenges for Sports Analytics - Jan 5, 2015.
We discuss Analytics at STATS, typical daily tasks, ICE Analytics platform, key challenges, response from coaches/players, career advice and more.
Analytics, Challenges, Coaching, NBA, Paul Robbins, Performance, Sports, STATS
