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Conferences
The Hitchhiker’s Guide to a Successful Data Science Practice

The Hitchhiker’s Guide to a Successful Data Science Practice

Accelerate AIFeatured PostODSC SpeakerAccelerate AIposted by Olivier Blais February 11, 2019

Be sure to attend Olivier’s talk at ODSC East this April 30 – May 3 in Boston! Register now for “Democratizing Artificial Intelligence in a Business Context” now. When we speak about data science in general, one of the biggest problems is the sheer lack of data scientists. According... Read more
5 Ways To Make The Most Out Of An Expo Hall Experience

5 Ways To Make The Most Out Of An Expo Hall Experience

Accelerate AIConferencesFeatured PostAccelerate AIConferencesposted by Elizabeth Wallace February 5, 2019

The expo hall is an exciting part of any conference. There’s so much going on, the freebies, the new tech, the possibility of finding your next big thing. I know you’re tempted to wing it, but you’d be making a mistake going in without a clear plan of action.... Read more
Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions

Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions

Featured PostModelingODSC SpeakerPredictive AnalyticsPredictive ModelingTime Seriesposted by Scott Haines January 31, 2019

Scott is presenting at ODSC East 2019 this May in Boston! Check out his workshop “Real-ish Time Predictive Analytics with Spark Structured Streaming.” With the advent of so many wonderful open-source tools and frameworks for machine learning & deep learning,  it can sometimes be difficult to understand just what... Read more
Why Consumers Should Trust Companies with Their Data

Why Consumers Should Trust Companies with Their Data

Accelerate AIConferencesHealthcareConferencesHealthcareODSC Westposted by Spencer Norris, ODSC December 13, 2018

Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he wasn’t satisfied with the option that faces most asthmatics: wait until an attack happens, and treat the symptoms once it does. At a hackathon, Pinto teamed up with other developers... Read more
Layer-wise Relevance Propagation Means More Interpretable Deep Learning

Layer-wise Relevance Propagation Means More Interpretable Deep Learning

ConferencesDeep LearningConferencesDeep LearningODSC Europeposted by Daniel Gutierrez, ODSC December 5, 2018

Wojciech Samek is head of machine learning for Fraunhofer Heinrich Hertz Institute. At ODSC Europe 2018, he spoke about an active area of research in deep learning: interpretability. Samek launched his lecture with the following preface on the rising importance of interpretability of deep learning models: “In the last number of... Read more
Mail Processing with Deep Learning: A Case Study

Mail Processing with Deep Learning: A Case Study

ConferencesDeep LearningConferencesDeep LearningMachine LearningODSC Europeposted by Paxtyn Merten November 29, 2018

Businesses increasingly delegate simple, boring, and repetitive tasks to artificial intelligence. In a case study, Alexandre Hubert — lead data scientist of software company Dataiku’s U.K. operations — worked on a team of three to automate mail processing with deep learning. At ODSC Europe 2018, Hubert detailed how his team... Read more
Olivier Blais of Moov AI on His Experience as a Speaker at ODSC West 2018

Olivier Blais of Moov AI on His Experience as a Speaker at ODSC West 2018

ConferencesConferencesODSC Westposted by Olivier Blais November 29, 2018

I am back from Open Data Science Conference (ODSC West) in California. What a blast! Not only was I able to present my talk on the democratization of AI, but I have learned a lot of very interesting stuff! I honestly am impressed by the projects and technologies presented... Read more
Handling Missing Data in Python/Pandas

Handling Missing Data in Python/Pandas

ConferencesModelingPythonTools & LanguagesConferencesODSC WestPandasPythonposted by Daniel Gutierrez, ODSC November 21, 2018

Key Takeaways: It’s important to describe missing data and the challenges it poses. You need to clarify a confusing terminology that further adds to the field’s complexity. You should take the time to review methods for handling missing data. You need to learn how to apply robust multiple imputation... Read more
Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

ConferencesModelingStatisticsConferencesMachine LearningODSC EuropeStatisticsposted by Daniel Gutierrez, ODSC November 20, 2018

Key Takeaways: It’s important for data scientists to understand the so-called “gap” between statistics and machine learning, and how there actually is a lot of commonality between the two; it’s just a matter of how you look at things. PyMC3 is a very useful probabilistic programming framework for Python.... Read more
Active Learning: Your Model’s New Personal Trainer

Active Learning: Your Model’s New Personal Trainer

ConferencesModelingConferencesMachine LearningODSC Europeposted by Brandon Dey, ODSC November 20, 2018

First, some facts. Fact: active learning is not just another name for reinforcement learning; active learning is not a model; and no, active learning is not deep learning. What active learning is and why it may be an important component of your next machine learning project was the subject... Read more
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