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6 Must See Deep Learning Experts at ODSC West 2019
First imagined by Alan Turing in the 1950s, deep learning has become a core tool of data scientists with numerous applications. Recognizing the importance of deep learning to the data science community, ODSC West is proud to host world-renowned deep learning experts, such as Micheal I. Jordan from UC Berkeley and Rachel Thomas from... Read more
Composable Machine Learning
Even as machine learning (ML) algorithms become more sophisticated and powerful, the way ML teams build ML systems hasn’t changed much. In this article, we’ll explain the need for composable machine learning systems. First, take a look at the old, inefficient way. Once the team figures out the task... Read more
It’s About Time. Designing a Streaming Architecture For High Frequency Sensor Data
Time is precious, short, relative and complicated… especially when managing streaming applications, where calculations are performed in near-real-time. Even more challenges arise when data come from sensors and are sampled at different rates and high frequencies. Machine and deep learning algorithms are often incorporated and have different mathematical assumptions... Read more
ODSC West 2019 Preview: Get Started with Deep Learning (by Trying It!)
There are lots of ways to get started learning deep learning. The best we’ve found is to dive in with examples!  If you’re attending ODSC West, you can get your hands dirty at the 1.5-hour workshop: Practical Deep Learning. Bring your laptop for hands-on examples training a deep learning... Read more
Building a Natural Language Question & Answer Search Engine
Didn’t have time to read the book for the big quiz?  Why not build a system to answer the questions for you? Using the architecture pictured below we can build out a framework that can accept natural language questions as a query and answer the question using a corpus... Read more
Lots of Data, No Labels, Now What?
Editor’s Note: Interested in learning about the problem of: lots of data, no labels? See Paolo’s talk “Guiding AI to Generate the Labels we do not have with Active Learning” at ODSC West 2019. Let me tell you about a common stereotypical data story in many industries today, simplified... Read more
Why We Need Graph Analytics for Real-World Predictions
Editor’s Note: Learn more about graphs and graph analytics at the talk “Reveal Predictive Patterns with Neo4j Graph Algorithms” at ODSC West 2019 on Wednesday, October 30th. As data becomes increasingly interconnected and systems increasingly sophisticated, it’s essential to make use of the rich and evolving relationships within our... Read more
ODSC Europe 2019 Preview: Tutorial on Automated Machine Learning
This article is co-written by Joaquin Vanschoren and Pieter Gijsbers. Today’s society increasingly relies on machine learning models for complex tasks such as decision making and personalized medicine. Constructing a good machine learning model is complicated and time-intensive. Relevant data has to be collected and cleaned, features might need... Read more
Deep Learning with TensorFlow 2.0
Editor’s Note: See Jon’s talk “Deep Learning with TensorFlow 2.0” at ODSC West 2019.  This summer, I had a blast speaking at Immersive A.I.—the first annual Open Data Science Conference (ODSC) event in New York. The venue was flawless, the organizers were exceptionally well-prepared, and there was a remarkable... Read more
ODSC West 2019 Preview: Python for Data Acquisition
Editor’s Note: See Phil present his talk “Python for Data Acquisition”  at ODSC West 2019. What does it take, on the technical side, to get a project started? After you have an idea and find something you want to study or look into, you need to get some data.... Read more