Layer-wise Relevance Propagation Means More Interpretable Deep Learning
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
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
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
Alexandru Agachi of Empiric Capital on “Handling Missing Data in Python/Pandas” at ODSC Europe 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
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
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
ODSC West 2018 Review: Have You Been to Machine Learning Mecca?
With ODSC West 2018 in the history logs, it didn’t disappoint. Conferences can be overblown, and usually in proportion to the number of buzzwords marketed in its runup. ODSC West wasn’t; I went home with a number of practical tricks I will apply to the machine learning problems that... Read more
An Introduction to Reinforcement Learning Concepts
Individuals interested in reinforcement learning crowded into a room at ODSC Europe 2018. There, Badoo’s lead data scientist Leonardo De Marchi hosted a four-hour workshop to guide attendees through the first steps. What is reinforcement learning? Reinforcement learning is one machine learning approach. Most people know of supervised and unsupervised learning.... Read more
How Data Scientists Can Enable Small Businesses to Utilize Their Data
There were 6 million businesses in the United States in 2016. Industry giants like Walmart and Amazon have hundreds of thousands or millions of employees on their own. Still, only 0.3 percent of U.S. companies have more than 500 employees. The vast majority — 79 percent — have fewer... Read more
Three Challenges for Open Data Science
There are three types of lies: lies, damned lies, and ‘big data.’ That’s the message Amazon machine learning director Neil Lawrence began his ODSC Europe 2016 lecture with before laying out the three largest challenges for open data science and our data-centered society. As Lawrence sees it, those challenges... Read more