Tag Machine Learning

Where Machines Go to Learn with Auren Hoffman

http://traffic.libsyn.com/sedaily/MLwithAuren.mp3Podcast: Play in new window | Download If you wanted to build a machine learning model to understand human health, where would you get the data? A hospital database would be useful, but privacy laws make it difficult to disclose that patient data to the public. In order to publicize the data safely, you would have to anonymize it, so that a patient’s identity could not be derived from data

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Machine Learning is Hard with Zayd Enam

http://traffic.libsyn.com/sedaily/WhyMLisHard.mp3Podcast: Play in new window | Download Machine learning frameworks like Torch and TensorFlow have made the job of a machine learning engineer much easier. But machine learning is still hard. Debugging a machine learning model is a slow, messy process. A bug in a machine learning model does not always mean a complete failure. Your model could continue to deliver usable results even in the presence of a mistaken

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Giphy Engineering with Anthony Johnson

http://traffic.libsyn.com/sedaily/giphy_edited.mp3Podcast: Play in new window | Download Giphy is a search engine for gifs, the short animated graphics that we see around the Internet. Giphy is also a creative platform where people create new gifs. Every search engine requires the construction of a search index, which is a data structure that responds to search queries efficiently. Since Giphy is a search engine for graphics, there is almost no text inherently

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Robots for the Elderly with Itai Mendelsohn

http://traffic.libsyn.com/sedaily/robotics_edited.mp3Podcast: Play in new window | Download Many elderly people live with unhealthy levels of isolation. Social isolation is a problem for anybody, but younger people can use technology to alleviate their isolation with tools like Skype and Facebook. How can we bridge the generational gap and give elderly people access to the same technological tools that younger people find easy to use? Voice interfaces are an important new medium

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Translation with Vasco Pedro

http://traffic.libsyn.com/sedaily/Unbabel_edited.mp3Podcast: Play in new window | Download Translation is a classic problem in computer science. How do you translate a sentence from one human language into another? This seems like a problem that computers are well-suited to solve. Languages follow well-defined rules, we have lots of sample data to train our machine learning models. And yet, the problem has not been solved–largely because languages don’t always follow rules. We have

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Medical Machine Learning with Razik Yousfi and Leo Grady

http://traffic.libsyn.com/sedaily/heartflow_edited_fixed.mp3Podcast: Play in new window | Download Medical imaging is used to understand what is going on inside the human body and prescribe treatment. With new image processing and machine learning techniques, the traditional medical imaging techniques such as CT scans can be enriched to get a more sophisticated diagnosis. HeartFlow uses data from a standard CT scan to model a human heart and understand blockages of blood flow using

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Antifraud Architecture with Josh Yudaken

http://traffic.libsyn.com/sedaily/antifraud_architecture_edited.mp3Podcast: Play in new window | Download Online marketplaces and social networks often have a trust and safety team. The trust and safety team helps protect the platform from scams, fraud, and malicious actors. To detect these bad actors at scale requires building a system that classifies every transaction on the platform as safe or potentially malicious. Since every social platform has to build something like this, Smyte decided to

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Scale API with Lucy Guo and Alexandr Wang

http://traffic.libsyn.com/sedaily/scaleapi_edited1.mp3Podcast: Play in new window | Download Some tasks are simple, but cannot be performed by a computer. Audio transcription, image recognition, survey completion–these are simple procedures that almost any human could execute, but the machine learning models have not gotten consistent enough to do them accurately. Scale is an API for human labor, created by Lucy Guo and Alexandr Wang. Similar to Amazon Mechanical Turk, Scale sends small, simple

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Bot Memorial with Eugenia Kuyda

http://traffic.libsyn.com/sedaily/botmemorial_edited.mp3Podcast: Play in new window | Download When a human passes away, we create a tombstone as a memorial. Friends and family visit a grave to remember the times they had with that person while they were still alive. Memorial bots are another way to celebrate the life of someone who has passed away. A memorial bot is created by taking the messages sent by a deceased person and passing

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Scikit-learn with Andreas Mueller

http://traffic.libsyn.com/sedaily/scikit_learn-edited.mp3Podcast: Play in new window | Download Scikit-learn is a set of machine learning tools in Python that provides easy-to-use interfaces for building predictive models. In a previous episode with Per Harald Borgen about Machine Learning For Sales, he illustrated how easy it is to get up and running and productive with scikit-learn, even if you are not a machine learning expert. Srini Kadamati hosts today’s show and interviews Andreas

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Music Deep Learning with Feynman Liang

http://traffic.libsyn.com/sedaily/Bachbot_Edited.mp3Podcast: Play in new window | Download Machine learning can be used to generate music. In the case of Feynman Liang’s research project BachBot, the machine learning model is seeded with the music of famous composer Bach. The music that BachBot creates sounds remarkably similar to Bach, although it has been generated by an algorithm, not by a human.   BachBot is a research project on computational creativity. Feynman Liang

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Automated Content with Robbie Allen

http://traffic.libsyn.com/sedaily/wordsmith_edited.mp3Podcast: Play in new window | Download You have probably read a news article that was written by a machine. When earnings reports come out, or a series of sports events like the Olympics occurs, there are so many small stories that need to be written that a news organization like the Associated Press would have to use all of its resources to write enough content to cover it all.

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Artificial Intelligence with Oren Etzioni

http://traffic.libsyn.com/sedaily/AI_Research_Edited_2.mp3Podcast: Play in new window | Download Research in artificial intelligence takes place mostly at universities and large corporations, but both of these types of institutions have constraints that cause the research to proceed a certain way. In a university, basic research might be hindered by lack of funding. At a big corporation, the researcher might be encouraged to study a domain that is not squarely in the interest of

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TensorFlow in Practice with Rajat Monga

http://traffic.libsyn.com/sedaily/TensorFlow_with_Rajat__Edited.mp3Podcast: Play in new window | Download TensorFlow is Google’s open source machine learning library. Rajat Monga is the engineering director for TensorFlow. In this episode, we cover how to use TensorFlow, including an example of how to build a machine learning model to identify whether a picture contains a cat or not.   TensorFlow was built with the mission of simplifying the process of deploying a machine learning model

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Data Validation with Dan Morris

http://traffic.libsyn.com/sedaily/datavalidation_edited_2.mp3Podcast: Play in new window | Download Data Validation is the process of ensuring that data is accurate. In many software domains, an application is pulling in large quantities of data from external sources. That data will eventually be exposed to users, and it needs to be correct. Radius Intelligence is a company that aggregates data on small businesses. In order to ensure that business addresses and phone numbers are

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Machine Learning for Sales with Per Harald Borgen

http://traffic.libsyn.com/sedaily/Xeneta.mp3Podcast: Play in new window | Download Machine learning has become simplified. Similar to how Ruby on Rails made web development approachable, scikit-learn takes away much of the frustrating aspects of machine learning, and lets the developer focus on building functionality with high-level APIs.   Per Harald Borgen is a developer at Xeneta. He started programming fairly recently, but has already built a machine learning application that cuts down on

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You Are Not A Commodity

http://traffic.libsyn.com/sedaily/You_Are_Not_A_Commodity.mp3Podcast: Play in new window | DownloadMost episodes of Software Engineering Daily are interviews with an expert about a technical software concept. Occasionally I write editorials, and also record them as a podcast. The first editorial was about 10 Philosophies for Engineers, the second was about how poker relates to software engineering, and the third was about music and software engineering. Today’s episode is called “You Are Not A Commodity”. Since it

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Machine Learning in Healthcare with David Kale

http://traffic.libsyn.com/sedaily/healthcareML_Edited.mp3Podcast: Play in new window | Download “Building a model to predict disease and deploying that in the wild – the bar for success is much higher there than, say, deciding what ad to show you.” Diagnosing illness today requires the trained eye of a doctor. With machine learning, we might someday be able to diagnose illness using only a data set. Today on Software Engineering Daily, we are joined

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Deep Learning and Keras with François Chollet

“I definitely think we can try to abstract away the first principles of intelligence and then try to go from these principles to an intelligent machine that might look nothing like the brain.”

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Machine Learning for Businesses with Joshua Bloom

“You’ve got software engineers who are interested in machine learning, and think what they need to do is just bring in another module and then that will solve their problem. It’s particularly important for those people to understand that this is a different type of beast.”

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