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Data Science

Credit Models and Binning Variables are Winning and I’m Keeping Score!

Aric is a speaker for ODSC East 2020 this April 13-17. Be sure to see his talk, “Credit Models and Binning Variables Are Winning and I’m Keeping Score!,” there! Classification scorecards are a great way to predict outcomes because the techniques used in the banking industry specialize in interpretability, predictive

ODSC Team 02/04/2020

Deep Learning

Build a First Neural Network

Neural networks are weirdly good at translating languages and identifying dogs by breed, but they can be intimidating to get started with. In an effort to smooth this on-ramp, I created a neural network framework specifically for teaching and experimentation. It’s called Cottonwood and this notebook shows how to build a first

ODSC Team 02/03/2020

Career

Rise of the ML Engineer

.tatsu-gtuwu0vddzcdaid5.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;} The job title “ML Engineer” is quickly outpacing “Data Scientist” in the new decade. Here are five reasons why you may want to become an ML engineer. With the rapid growth of artificial intelligence comes a rising demand for machine learning (ML) engineers. AI-driven software that

ODSC Team 01/29/2020

Data Science

Top 25 Session Highlights at ODSC East 2020

For ODSC East 2020, our preliminary schedule is a unique collection of the leading experts and rising stars of data science. We’ve expanded both the depth and breadth of our event to encompass everything from a junior kickstart track to our advanced data science research frontiers, and everything in between.

ODSC Team 01/28/2020

Data Science

5 Hands-on Skills Every Data Scientist Needs in 2020 – Coming to ODSC East 2020

At ODSC events, our goal is to provide training and workshops that help everyone from beginners to experienced data scientists and software engineers accelerate their hands-on skills in all areas of data science and AI. Here are our top five hands-on training focus areas that every data scientist should know

ODSC Team 01/09/2020

Machine Learning

Applications of AI in Cybersecurity

Editor’s Note: See Dustin’s talk “Applications of AI in Cybersecurity” at ODSC West 2019. Security has historically lagged behind the implementation of new technology. With AI/ML transforming how industries and government agencies do business and serve citizens, it is critical that developers build security into our architectures from the beginning so

ODSC Team 10/15/2019

Deep Learning

A Crash Course on Deep Learning in the Cloud

Deep learning is the newest area of machine learning and has become ubiquitous in predictive modeling. The complex brain-like structure of deep learning models is used to find intricate patterns in large volumes of data. They have substantially improved the performance of general supervised models, time series, speech recognition, sentiment

ODSC Team 10/15/2019

Data Science

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 when

ODSC Team 10/09/2019

Deep Learning

Sequence Modelling with Deep Learning

This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neural networks, usually either

ODSC Team 10/09/2019

NLP

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 of

ODSC Team 10/09/2019

Data Science

Lots of Data, No Labels, Now What?

Let me tell you about a common stereotypical data story in many industries today, simplified here for brevity. “Corey” is a fresh graduate from a great data school and he is hired right away by some company with lots of money and lots of data. Great, right? Corey is actually a

ODSC Team 10/08/2019

Data Visualization

Why We Need Graph Analytics for Real-World Predictions

As data becomes increasingly interconnected and systems increasingly sophisticated, it’s essential to make use of the rich and evolving relationships within our data. Graphs are uniquely suited to this task because they are, very simply, a mathematical representation of a network. The objects that makeup graphs are called nodes (or

ODSC Team 10/08/2019

Machine Learning

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 to

ODSC Team 10/08/2019

Machine Learning

Interpretable Knowledge Discovery Reinforced by Visual Methods

Visual reasoning and discovery have a long history. Chinese and Indians had visual proof of the Pythagorean Theorem in 600 B.C. before it was known to the Greeks. Scientists such as Bohr, Boltzmann, Einstein, Faraday, Feynman, Heisenberg, Helmholtz, Herschel, Kekule, Maxwell, Poincare, Tesla, Watson, and Watt have declared the fundamental

ODSC Team 10/08/2019

NLP

Identifying Heart Disease Risk Factors from Clinical Text

Editor’s Note: See Sudha’s talk “Identifying Heart Disease Risk Factors from Clinical Notes” at ODSC Europe 2019. People needlessly die every single day due to preventable heart attacks. The clues are hiding right within the notes doctors and clinicians take during routine health care visits. In this presentation, we uncover how

ODSC Team 09/25/2019

Machine Learning

Solving Problems in Machine Learning with scAlign

Editor’s Note: See Nelson’s tutorial on this subject of solving problems in machine learning at his talk “Data Harmonization for Generalizable Deep Learning Models: From Learning to Hands-On Tutorial” at ODSC West 2019. One of many common problems in machine learning (ML) is to learn models that work well (generalize) beyond

ODSC Team 09/25/2019

Machine Learning

Machine Learning for Continuous Integration

Editor’s Note: Andrea Frittoli and Kyra Wulffert are presenting their talk“Machine Learning for Continuous Integration” at ODSC 2019 Europe. Continuous Integration and Data As more applications move to a DevOps model with CI/CD pipelines, the testing required for this development model to work inevitably generates lots of data. This is also

ODSC Team 09/25/2019

NLP

Do Android Composers Dream of Electric Keyboards?

Editor’s Note: If you’re interested in the idea of AI with a dream of electric keyboards, see Joseph’s talk “The Soul of a New AI” at ODSC Europe 2019. My journey in AI begins with grammar. Raised in a mathematical home, I think I was discovering prime numbers when most kids

ODSC Team 09/25/2019

Credit Models and Binning Variables are Winning and I’m Keeping Score!

Build a First Neural Network

Rise of the ML Engineer

Top 25 Session Highlights at ODSC East 2020

5 Hands-on Skills Every Data Scientist Needs in 2020 – Coming to ODSC East 2020

Applications of AI in Cybersecurity

A Crash Course on Deep Learning in the Cloud

It’s About Time. Designing a Streaming Architecture For High Frequency Sensor Data

Sequence Modelling with Deep Learning

Building a Natural Language Question & Answer Search Engine

Lots of Data, No Labels, Now What?

Why We Need Graph Analytics for Real-World Predictions

ODSC Europe 2019 Preview: Tutorial on Automated Machine Learning

Interpretable Knowledge Discovery Reinforced by Visual Methods

Identifying Heart Disease Risk Factors from Clinical Text

Solving Problems in Machine Learning with scAlign

Machine Learning for Continuous Integration

Do Android Composers Dream of Electric Keyboards?

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