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http://traffic.libsyn.com/sedaily/ReinforcementLearning.mp3Podcast: Play in new window | Download Reinforcement learning is a type of machine learning where a program learns how to take actions in an environment based on how that program has been rewarded for actions it took in the past. When program takes an action, and it receives a reward for that action, it is likely to take that action again in the future because it was positively reinforced.
http://traffic.libsyn.com/sedaily/objectsegmentation.mp3Podcast: Play in new window | Download Video object segmentation allows computer vision to identify objects as they move through space in a video. The DAVIS challenge is a contest among machine learning researchers working off of a shared dataset of annotated videos. The organizers of the DAVIS challenge join the show today to explain how video object segmentation models are trained and how different competitors take part in the
http://traffic.libsyn.com/sedaily/ClarifaiCNNs.mp3Podcast: Play in new window | Download Convolutional neural networks are a machine learning tool that uses layers of convolution and pooling to process and classify inputs. CNNs are useful for identifying objects in images and video. In this episode, we focus on the application of convolutional neural networks to image and video recognition and classification. Matt Zeiler is the CEO of Clarifai, an API for image and video recognition.
http://traffic.libsyn.com/sedaily/numerai_edited.mp3Podcast: Play in new window | Download A hedge fund is a collection of investors that make bets on the future. The “hedge” refers to the fact that the investors often try to diversify their strategies so that the direction of their bets are less correlated, and they can be successful in a variety of future scenarios. Engineering-focused hedge funds have used what might be called “machine learning” for a
http://traffic.libsyn.com/sedaily/stripeantifraud_edited.mp3Podcast: Play in new window | Download Every company that deals with payments deals with fraud. The question is not whether fraud will occur on your system, but rather how much of it you can detect and prevent. If a payments company flags too many transactions as fraudulent, then real transactions might accidentally get flagged as well. But if you don’t reject enough of the fraudulent transactions, you might not
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
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
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
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
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
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
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
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
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
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
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
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.
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
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 from
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