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Latest Developments in GANs
Generative adversarial networks (GANs) is a compelling technology that’s widely considered one of the most interesting developments in AI and deep learning in the past decade. This article provides an overview of the ODSC West 2018 talk “Latest Developments in GANs,” presented by Seth Weidman of Facebook. The presentation... Read more
Model Evaluation in the Land of Deep Learning
Applications for machine learning and deep learning have become increasingly accessible. For example, Keras provides APIs with TensorFlow backend that enable users to build neural networks without being fluent with TensorFlow. Despite the ease of building and testing models, deep learning has suffered from a lack of interpretability; deep... Read more
Deep Learning in R with Keras
The primary professional hat I wear is as a data science consultant working with machine learning in a variety of problem domains. Due to my academic past in computer science and applied statistics, my development environment of choice today is typically R. Lately however, Python is taking the lead... Read more
Zero to Deep Learning: The Logistics
Deep learning models can be intimidating and rightfully so; in their raw form they are highly complex algorithms that need to be engineered with expertise. However, deep learning is very accessible to individuals with a background in technical skills thanks to organizations and individuals that have packaged deep learning... Read more
Smart Image Analysis for E-Commerce Applications
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?
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
4 Examples of Businesses Solving Problems with AI
In her talk at ODSC West 2018, “Reality Check: How Businesses are using Human in the Loop Processes to Drive Real Value,” Alyssa Simpson Rochwerger, the VP of Product at Figure Eight, explains how companies can begin solving creating value and solving problems with AI. [Related Article: Problem Solving... Read more
Redefining Robotics: Next Generation Warehouses
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
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 whether a given... Read more
Watch: Using Data For Good
With Crisis Response and Disaster Maps, Facebook is providing real-time support to disaster response and aid providers—trying to use data for good. In this video from ODSC East 2018, Brandon Rohrer shares some examples of the information provided, the processing, algorithms and visualization methods behind it, and how the... Read more