According to a recent KPMG study, nearly all of the executives they interviewed expect AI to create new winners and…
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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…
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Which Programming Language Should Data Scientists Learn First?R, Python, SQL or something else?6 Data Science Skills to Take Your Career to…
Continue ReadingHow 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…
Continue ReadingOptimization 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…
Continue ReadingOptimization 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…
Continue ReadingHyperparameter 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…
Continue ReadingSystem & 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…
Continue ReadingSolving 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…
Continue ReadingGetting 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…
Continue ReadingTrust 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…
Continue ReadingBayesian Optimization & Quantum Computing
(source)Bayesian Optimization & Quantum ComputingHow Bayesian Optimization can help Quantum Computing become a realityCharles BrecqueBlockedUnblockFollowFollowingJan 8Quantum computers have the potential to…
Continue ReadingUsing 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…
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