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

The Interplay of Experimentation and ML to Aid in Repayment of Micro-Loans in Sub-Saharan Africa

Conferences Data Science for Good Machine Learning Modeling ODSC Speaker Data Science for Good microloans MLposted by Brianna Schuyler August 16, 2019

In this article, we look at the interplay of experimentation and ML to aid in the repayment of micro-loans, specifically in sub-Saharan Africa. Read on to understand the story that brought us to this understanding. Imagine that through a twist of fate,... Read more

Building a Convolutional Neural Network: Male vs Female

Machine Learning Modeling convnets Neural Networksposted by Shadab Hussain August 14, 2019

In this blog, we are going to classify images using Convolutional Neural Network (CNN), and for deployment, you can use Colab, Kaggle or even use your local machine since the dataset size is not very large. At the end of this, you will be able to build your own... 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

Cracking the Box: Interpreting Black Box Machine Learning Models

Machine Learning Modeling black box black box machine learning Machine Learningposted by Yuriy Gavrilin August 7, 2019

Intro To kick off this article, I’d like to explain the interpretability of a machine learning (ML) model. According to Merriam-Webster, interpretability describes the process of making something plain or understandable. In the context of ML, interpretability provides us with an understandable explanation of how a model behaves. Basically,... Read more

Smart Image Analysis for E-Commerce Applications

Accelerate AI Conferences Deep Learning Machine Learning Modeling ODSC Speaker Computer Vision e-commerce image analysis West 2019posted by Abon Chaudhuri August 7, 2019

Editor’s note: Abon is a speaker for ODSC West this Fall! Consider attending his talk, “Computer Vision for E-Commerce: Intelligent Analysis and Selection of Product Images at Scale” then. In e-commerce, the role of product images is critical in delivering satisfactory customer experience. Images help online shoppers gain confidence... Read more

Model Interpretation: What and How?

Conferences Machine Learning Modeling ODSC Speaker 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 — model interpretation instead... Read more

Redefining Robotics: Next Generation Warehouses

Accelerate AI 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 and creates more... Read more

Recognize Class Imbalance with Baselines and Better Metrics

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

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 whether a given user would like a given artist. I was thrilled when initial experiments showed that for 99% of the... 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 major accomplishments we’ve... 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 accuracy with my... Read more