Machine Learning Archives

Model Interpretation: What and How?

Blogs from ODSC Speakers Conferences Machine Learning Modeling model interpretationposted by Brian Lucena August 7, 2019

Editor’s note: Brian is a speaker for ODSC West in California this November! Be sure to check out his talk, “Advanced Methods for Explaining XGBoost Models” there! As modern machine learning methods become more ubiquitous, increasing attention is being paid to understanding how these models work —... Read more

Redefining Robotics: Next Generation Warehouses

Business + Management Conferences Machine Learning robotics West 2018posted by Elizabeth Wallace, ODSC August 7, 2019

People picture robots changing to look more like humans, but in reality, the evolution of robotics involves things you can’t actually see. For Bastiane Huang at Osaro, the development of robots means greater advances in autonomy. Building brains for robots gives them more flexibility for tasks... Read more

Recognize Class Imbalance with Baselines and Better Metrics

Blogs from ODSC Speakers Conferences Machine Learning Modeling Class imbalance West 2019posted by Samuel Taylor August 6, 2019

Editor’s Note: Samuel is speaking at ODSC West 2019, see his talk “Help! My Classes are Imbalanced” there. In my first machine learning course as an undergrad, I built a recommender system. Using a dataset from a social music website, I created a model to predict... Read more

Watch: No Black Boxes: Understandability, Transparency, and Governance in Machine Learning

Conferences Machine Learning Modeling Machine Learningposted by ODSC Team August 3, 2019

In this talk, presented at Accelerate AI East 2019, Ingo Mierswa presents the ideas of understandability, transparency, and governance in machine learning, and how those pieces all work together. Ingo Mierswa is an... Read more

NVIDIA GPUs and Apache Spark, One Step Closer

Machine Learning Machine Learningposted by RAPIDS August 2, 2019

While RAPIDS started with a Python API focus, there are many who want to enjoy the same NVIDIA GPU acceleration in Apache Spark; in fact, we have many at NVIDIA. When RAPIDS first launched, we had a plan to accelerate Apache Spark as well as Dask, and we want to share some... Read more

Bias Variance Decompositions using XGBoost

Guest contributor Machine Learning Modeling bias varianceposted by RAPIDS August 1, 2019

This blog dives into a theoretical machine learning concept called the bias-variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand questions like: – How can I achieve higher... Read more

Taking Your Machine Learning from 0 to 10

Business + Management Conferences Machine Learning Machine Learning West 2018posted by Elizabeth Wallace, ODSC July 30, 2019

Madhura Dudhgaonkar is the senior director of Machine Learning at Workday Inc. She believes that it’s possible to deploy machine learning within your enterprise, but it takes a few steps to get exactly right. She loves to get into unknowns and things we haven’t tried yet,... Read more

ODSC Meetup: Automated and Interpretable Machine Learning

Conferences Machine Learning Modeling Machine Learning odsc meetupposted by Nathaniel Jermain July 25, 2019

Last week, ODSC hosted a talk by Dr. Francesca Lazzeri, Senior Machine Learning Scientist at Microsoft, on the capabilities of automated and interpretable machine learning software in Microsoft’s Azure. Notably, this talk is part of a series that covers a variety of data science topics. The... Read more

When Less is More: A Brief Story About Feature Engineering with XGBoost

Machine Learning Machine Learning rapidsposted by RAPIDS July 25, 2019

I played a minor role launching RAPIDS on Google Dataproc by refining a model that predicts taxi fare in New York City. Geographic location of passenger pick-ups and drops-offs were columns in the data. These are recorded as longitude and latitude measurements, with precision to many decimal places.... Read more

Watch: Effective Transfer Learning for NLP

Conferences Machine Learning Modeling NLP/Text Analytics Transfer Learningposted by ODSC Team July 24, 2019

Transfer learning, the practice of applying knowledge gained on one machine learning task to aid the solution of a second task, has seen historic success in the field of computer vision. The output representations of generic image classification models trained on ImageNet have been leveraged to... Read more