Videos

Advanced Optimization Techniques, Deep Learning
Tuning the Untunable: Insights for Deep Learning Optimization
Patrick Hayes originally gave this talk at ODSC West in 2018.
All Model Types, Modeling Best Practices
Two Sigma & SigOpt Discussion on Modeling Best Practices
During Ai4 Finance, SigOpt CEO Scott Clark interviews SigOpt customer and CTO of Two Sigma, Matt Greenwood.
Advanced Optimization Techniques, Deep Learning
Applying Multimetric Optimization to Solve Business Problems
SigOpt CEO Scott Clark explains the value of multimetric optimization, a new capability embedded within the SigOpt Optimization Platform.
Deep Learning, Modeling Best Practices
Bringing Deep Learning to the Cloud
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines.
All Model Types, Training & Tuning
Bayesian Optimization for Hyperparameter Tuning
Sneak away and catch up with Scott Clark, Co-Founder and CEO of Sigopt, a company whose software is focused on automatically tuning your model’s parameters through Bayesian optimization.
Applied AI Insights, Simulations & Backtests
SigOpt for Trading
Learn how you can use SigOpt to optimize your trading models.
Applied AI Insights, Machine Learning
SigOpt for AI
Learn how you can use SigOpt to optimize your AI and Machine Learning models.
Deep Learning, Modeling Best Practices
Using SigOpt and Tensorflow for Convolutional Neural Networks
Short tutorial on how to use SigOpt, AWS and TensorFlow to efficiently build a convolutional neural network for classifying digits in the SVHN dataset.
All Model Types, Modeling Best Practices
Common Problems in Hyperparameter Optimization
Common Problems In Hyperparameter Optimization: All large machine learning pipelines have tunable parameters, commonly referred to as hyperparameters.
Applied AI Insights, Simulations & Backtests
SigOpt for Algorithmic Trading
During Ai4 Finance, SigOpt CEO Scott Clark interviews SigOpt customer and CTO of Two Sigma, Matt Greenwood.
Applied AI Insights, Simulations & Backtests
SigOpt for Hedge Funds
In this video I’m going to show you how SigOpt can help you amplify your trading models by optimally tuning them using our black-box optimization platform.
Machine Learning, Training & Tuning
Using Optimal Learning to Tune Machine Learning Models
Using Bayesian Optimization to Tune Machine Learning Models: In this talk we briefly introduce Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.
Machine Learning, Modeling Best Practices
Visualizing Abstract Concepts in Machine Learning
There are so many exciting and new ideas to make beautiful in machine learning.
Machine Learning, Modeling Best Practices
Exploiting Unlabelled Data with Bayesian Optimization
In this video, we will walk through an example that uses SigOpt to tune a machine learning pipeline for a classification task.
Machine Learning, Training & Tuning
Optimizing Machine Learning Models
In this talk we briefly introduce Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.
Machine Learning, Modeling Best Practices
Using SigOpt and scikit-learn for machine learning
Short tutorial on how to use SigOpt, AWS and our scikit-learn wrapper to quickly optimize the hyperparameters, train and evaluate several classification models on a given dataset.
Deep Learning, Modeling Best Practices
Optimizing Deep Learning Models
Bayesian Optimization methods used by SigOpt, coupled with the incredibly scalable deep learning architecture provided with the Nervana Cloud and neon, allow anyone to easily tune their models to quickly achieve higher accuracy.