Database Performance Tuning Made Easier by Machine Learning

AutoTiKV is a machine-learning-based tuning tool that helps decrease tuning costs and make life easier for DBAs. This post shows AutoTiKV’s design, its machine learning model, and the automatic tuning workflow. Read more

Read full article

Similar

Deep Vision: Near-Infrared Imaging, Machine Learning Can Identify Hidden Tumors

Tokyo University of Science official website. Information about Media at TUS. (more…)

Build Your Own Machine Learning Visualizations with the New TensorBoard API

Posted by Chi Zeng and Justine Tunney, Software Engineers, Google Brain Team When we open-sourced TensorFlow in 2015 , it included TensorB... (more…)

Machine Learning Spotlight I: Investigating Recurrent Neural Networks

An extensive collection of resources on Recurrent Neural Networks to strengthen your knowledge of machine learning algorithms! (more…)

AutoGluon Tabular: Automatic Machine Learning for Tabular Data

Watch the keynote presentation by Alex Smola, AWS vice president and distinguished scientist, presented at the AutoML@ICML2020 workshop... (more…)

Interpretable Machine Learning for Science with PySR and Symbolicregression.jl

PySR is an open-source library for practical symbolic regression, a type of machine learning which aims to discover human-interpretable symbolic models. PySR was developed to democratize and popularize symbolic regression for the sciences, and is built on... (more…)

Latest News

College instructor uses typewriters to curb AI work and teach life lessons

AI vs. Human Intelligence: Comparing Strengths and Limits

Rust CLI Toy