# optimization

## Using AI to Optimize Pricing

According to a recent KPMG study, nearly all of the executives they interviewed expect AI to create new winners and…

## Sergey Malchevskiy

Unsupervised Learning to Market Behavior ForecastingYou will get know how to model the market…Application of Gradient Boosting in Order Book ModelingBayesian Optimization…

## Genevieve Hayes

Which Programming Language Should Data Scientists Learn First?R, Python, SQL or something else?6 Data Science Skills to Take Your Career to…

## How to Automate Hyperparameter Optimization

How to Automate Hyperparameter OptimizationA Beginner’s Guide to Using Bayesian Optimization With Scikit-OptimizeSuleka HelminiBlockedUnblockFollowFollowingMay 29Photo by Crew on UnsplashIn the machine…

## Optimization with SciPy and application ideas to machine learning

For demonstration purpose only, we severely limit the number of iteration to 3. result = optimize. minimize(scalar1,x0=-20,method='SLSQP',constraints=cons,options={'maxiter':3})The result is, as…

## Optimization with Python: How to make the most amount of money with the least amount of risk?

We can simply compute a rolling monthly return by subtracting the previous month’s average stock price from the current month…

## Hyperparameter optimization in python. Part 0: Introduction.

Well, it is… and it’s not. The obvious approach is just to iterate over all possible combinations of hyperparameters, run…

## System & Language Agnostic Hyperparameter Optimization at Scale

Maybe. But imagine a microservice which can optimize any ML model because it is invariant to language, infrastructure, and result/model…

## Solving Travelling Salesperson Problems with Python

Solving Travelling Salesperson Problems with PythonHow to use randomized optimization algorithms to solve travelling salesperson problems with Python’s mlrose packageGenevieve HayesBlockedUnblockFollowFollowingJan 17mlrose…

## Getting Started with Randomized Optimization in Python

Getting Started with Randomized Optimization in PythonHow to use randomized optimization algorithms to solve simple optimization problems with Python’s mlrose packageGenevieve HayesBlockedUnblockFollowFollowingJan…

## Trust Region and Proximal policy optimization

Trust Region and Proximal policy optimizationSergios KaragiannakosBlockedUnblockFollowFollowingJan 10Photo from DeepmindWelcome to another journey towards unraveling the secrets behind Reinforcement Learning. This…

## Bayesian Optimization & Quantum Computing

(source)Bayesian Optimization & Quantum ComputingHow Bayesian Optimization can help Quantum Computing become a realityCharles BrecqueBlockedUnblockFollowFollowingJan 8Quantum computers have the potential to…

## Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The…