Tools & Languages Archives - Open Data Science - Your News Source for AI, Machine Learning & more

Comparing Point-and-Click Front Ends for R

R Tools & Languages point and click Rposted by Bob Muenchen August 23, 2019

For an updated version of this post, see:http://r4stats.com/articles/software-reviews/r-gui-comparison/. Now that I’ve completed seven detailed reviews of Graphical User Interfaces (GUIs) for R, let’s compare them. It’s easy enough to count their features and plot them, so let’s start there. I’m basing the counts on the number of menu items in each... Read more

Optuna: An Automatic Hyperparameter Optimization Framework

Conferences Machine Learning Modeling ODSC Speaker Tools & Languages hyperparameter Machine Learning optuna West 2019posted by Crissman Loomis August 22, 2019

Preferred Networks has released a beta version of an open-source, automatic hyperparameter optimization framework called Optuna. In this blog, we will introduce the motivation behind the development of Optuna as well as its features. Website Documents... Read more

Some Details on Running xgboost

R Tools & Languages R XGBoostposted by John Mount August 21, 2019

While reading Dr. Nina Zumel’s excellent note on bias in common ensemble methods, I ran the examples to see the effects she described (and I think it is very important that she is establishing the issue, prior to discussing mitigation). ... Read more

Hierarchical Bayesian Models in R

Modeling R Statistics Tools & Languages bayesian hierarchical bayesian Hierarchical Bayesian Models Statisticsposted by Nathaniel Jermain August 19, 2019

Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, I recommend... Read more

Financial Data Modeling with RAPIDS.

Accelerate AI Financial Services Tools & Languages financial data modeling rapidsposted by RAPIDS August 15, 2019

A financial dataset is challenging in many ways. The data is usually anonymized to protect customers’ privacies. Sometimes even the column name of the tabular data is encoded, which can prevent feature engineering using domain knowledge. As required by financial regulation and laws, oftentimes the models must be interpretable, like logistic... Read more

Dask, Pandas, and GPUs: First Steps

Tools & Languages dask gpus Pandasposted by Matthew Rocklin August 15, 2019

We’re building a distributed GPU Pandas dataframe out of cuDF and Dask Dataframe. This effort is young. This post describes the current situation, our general approach, and gives examples of what does and doesn’t work today. We end with some notes on scaling performance. [Related Article: From Pandas to Scikit-Learn — A New Exciting... Read more

What is MLPerf?

Accelerate AI Tools & Languages Machine Learning ML mlperfposted by Elizabeth Wallace, ODSC August 14, 2019

AI might be a buzzword, but the hype is outpacing tools to ensure benchmarks. Up to this point, assessing the performance of ML software was difficult. You couldn’t just measure it objectively against other types of frameworks. Now, a collection of tech companies have released MLPerf, a consistent way... Read more

gQuant — GPU-Accelerated examples for Quantitative Analyst Tasks

Modeling Tools & Languages gquant Quantitative Analyst Tasks rapidsposted by RAPIDS August 14, 2019

gQuant Background: Our prior blog gave a high-level overview of examples in the gQuant repository using GPU accelerated Python. Here we will dive more deeply into the technical details. The examples in gQuant are built on top of NVIDIA’s RAPIDS framework and feature fast data access provided by cuDF dataframes residing in high... Read more

RAPIDS 0.8: Same Community New Freedoms

Machine Learning Modeling Tools & Languages Machine Learning PyTorch rapidsposted by RAPIDS August 13, 2019

RAPIDS released 0.8 a few weeks back. And afterwards, like most Americans, we took off for the 4th of July holiday. Over that break, I reflected on the purpose of RAPIDS. Speed is great, building a strong community is awesome, but the true power of RAPIDS is in the enablement... Read more

Factors in R

R Tools & Languages factoring factors R toolsposted by Steve Miller August 9, 2019

The factor is a foundational data type in R. Factors are generally used to represent categorical variables, which may be intrinsically unordered (nominal) or ordered (ordinal). While the underlying data is often character, factors can be built on numerics as well. Factor variables are stored as integers pointing to unique values of underlying... Read more