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

The Best Machine Learning Research of June 2019

Machine Learning Modeling Research Machine learning researchposted by ODSC Team July 19, 2019

Machine Learning and the data science industry is always changing. To keep you updated on the most recent discoveries, we’ve compiled the 5 most exciting machine learning research pieces that expand what we thought we knew about machine learning and the industries to which it relates. [Related Article: The... Read more

A Manager’s Guide to Starting a Computer Vision Program

Accelerate AI Conferences Machine Learning Computer Vision West 2018posted by Elizabeth Wallace, ODSC July 19, 2019

So you’re thinking of starting a computer vision program, but you’ve realized now that the logistics are overwhelming. What framework do you use? What infrastructure? Do you go with an out of the box solution or take the time to build your own? Cloud GPU or on-premise? What’s your... Read more

Best Practices for Deploying Machine Learning in the Enterprise

Accelerate AI Conferences Machine Learning West 2018posted by Elizabeth Wallace, ODSC July 18, 2019

If you’re an organization worried about being left behind with deploying machine learning, it’s not just you. According to Gartner’s Hype Cycle Chart, machine (and deep) learning are the biggest hyped trends of the year. More businesses, organizations, and startups are talking about deep learning and what it means... Read more

Deep Learning for Speech Recognition

Conferences Deep Learning Modeling West 2018posted by Nathaniel Jermain July 17, 2019

Deep learning is well known for its applicability in image recognition, but another key use of the technology is in speech recognition employed to say Amazon’s Alexa or texting with voice recognition. The advantage of deep learning for speech recognition stems from the flexibility and predicting power of deep... Read more

An Introduction to Active Learning

Conferences Machine Learning active learning supervised learning West 2018posted by Nathaniel Jermain July 16, 2019

The current utility and accessibility of machine learning is in part due to the exponential increase in the availability of data over time. While data is abundant, labels that are required for specific supervised machine learning tasks can be difficult to obtain. At ODSC West in 2018, Dr. Jennifer... Read more

The New Life of the Travel Industry with Artificial Intelligence

Accelerate AI Guest contributor Predictive Analytics Transportationposted by Ralabs July 16, 2019

The new online opportunities for travelers has a negative influence on touristic companies. A large number of their potential clients prefer to arrange their vacations on the internet instead of going to travel agencies. But there are a lot of ways new technologies, like AI, can actually help travel... Read more

Watch: Kubeflow and Beyond: Automation of Model Training, Deployment and Testing

Machine Learning Modeling Pythonposted by ODSC Team July 12, 2019

Very often a workflow of training models and delivering them to the production environment contains loads of manual work. Those could be either building a Docker image and deploying it to the Kubernetes cluster or packing the model to the Python package and installing it to your Python application.... Read more

Using Mobile Devices for Deep Learning

Conferences Deep Learning Deep Learning West 2018posted by Nathaniel Jermain July 12, 2019

A key avenue for deploying deep learning models is a mobile device. The advantage of running models in mobile apps instead of sending them to the cloud is the reduction in latency and the ability to ensure data privacy for users. Despite the variety of deep learning libraries and... Read more

Automating Data Wrangling – The Next Machine Learning Frontier

Conferences Data Wrangling Modeling ODSC Speaker data wrangling West 2019posted by Alex Holub July 11, 2019

Up to 95% of a data scientist’s time is spent data wrangling. Conversely, about 99% of data-scientists hate data wrangling. That’s problematic. Data wrangling tends to be the most redundant and mind-numbing process associated with building Machine Learning (ML) models. There are four steps to building an ML model:... Read more

OS for AI: How Serverless Computing Enables the Next Gen of ML

Accelerate AI Conferences Machine Learning Conferences West 2018posted by Daniel Gutierrez, ODSC July 11, 2019

Jon Peck is a Full Spectrum Developer & Advocate for Algorithmia, an open marketplace for algorithms. At ODSC West 2018, he delivered a talk “OS for AI” which discussed how serverless computing enables the next generation of machine learning. The slides for Peck’s presentation can be found HERE. The... Read more