In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. 1936 Followers. Drop us a line! Followers Plays. Likewise, an algorithm getting a prediction mostly correct might not be an overall benefit if it introduces more dramatic failures when the prediction happens to be wrong. Katie and Ben, keep it up! Linear Digressions. OVERVIEW EPISODES YOU MAY ALSO LIKE. The case field can be of integer, date, or string type. Technology; Episodes. ... which is something that Katie does a lot for her day job at Civis Analytics. Follow Share. Follow Share. Listen to A Data Scientist's View Of The Fight Against Cancer and 290 more episodes by Linear Digressions, free! Ben Jaffe and Katie Malone. Linear Digressions. All good things must come to an end, including this podcast. Technology. Stein's Paradox. Linear Digressions is a podcast about machine learning and data science. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. Ben Jaffe and Katie Malone. The answer isn’t no, exactly, but it’s not a resounding yes, because these algorithms interact with a very complex system (the healthcare system) and other shortcomings of that system are proving hard to automate away. ), and marveling at how this thing that started out as a side project grew into a huge part of our lives for over 5 years.It’s been a ride, and a real pleasure and privilege to talk to you each week. Likes Comments Share. Linear Digressions is a podcast about machine learning and data science. Latest Episodes. For every data scientist whose work is deployed into some kind of product, and is being used to solve real-world problems, these papers underscore how important and difficult it is to consider all the context around those problems. A Data Science Take on Open Policing Data. We love hearing from you. The answer isn’t no, exactly, but it’s not a resounding yes, because these algorithms interact with a very complex system (the healthcare system) and other shortcomings of that system are proving hard to automate away. Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Procella: YouTube's super-system for analytics data storage, This is a re-release of an episode that originally ran in October 2019.If you’re trying to manage a project that serves up analytics data for a few very distinct uses, you’d be wise to consider having custom solutions for each use case that are optimized for the needs and constraints of that use cases. This episode of Linear Digressions is a little different from most, as we’ll be interviewing a guest, one of my (Katie’s) friends from particle physics, Alex Radovic. Criminology and Data Science. This is a re-release of an episode that first ran on January 29, 2017.This week: everybody's favorite WWII-era classifier metric! Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Love the puns! Data science, machine learning, artificial intelligence are topics that are big, messy, and full of things to discover. At least one NEW video is posted each week. Linear Digressions Episodes; Contact; We make this podcast for you. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. lineardigressions.com. This is the last episode we plan to release, and it doesn’t cover data science—it’s mostly reminiscing, thanking our wonderful audience (that’s you! Follow Share. Data science management isn’t easy, and many data scientists are finding themselves learning on the job how to manage data science teams as they get promoted into more formal leadership roles. Linear Digressions is a podcast about machine learning and data science. Free videos about Excel, Power Pivot, Power Query and Power BI. Ben Jaffe and Katie Malone. 17 min 2017 OCT 23. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. Subscribe to this podcast. IMPORTANT NON-DATA SCIENCE CHICAGO MARATHON RACE RESULT FROM KATIE… Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. Episodes cover a wide variety of interesting topics and applications—not exclusively academic or esoteric. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Play Episode. Play Episode. 10/10 Definitely would recommend you check out this podcast if you’re interested in learning (more) about data science. Play Episode. Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Linear Digressions is a podcast about machine learning and data science. Getting a faster diagnosis from an image might not be an improvement if the image is now harder to capture (because of strict data quality requirements associated with the algorithm that wouldn’t stop a human doing the same job). Linear Digressions Ben Jaffe and Katie Malone. Linear Digressions is a podcast about machine learning and data science. Copyright © 2020 Apple Inc. All rights reserved. Even for de-identified datasets, there can be ways to re-identify the records or otherwise figure out sensitive personal information. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Followers Plays. If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. A Reality Check on AI-Driven Medical Assistants. Stream Tracks and Playlists from Linear Digressions on your desktop or mobile device. ... [email protected] . Linear Digressions by Ben Jaffe and Katie Malone. Welcome to Katie Analytics. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that … Linear Digressions by Ben Jaffe and Katie Malone Podcast by Ben Jaffe and Katie Malone. Linear Digressions is a podcast about machine learning and data science. Ben Jaffe and Katie Malone. This is a re-release of an episode that was originally released on February 26, 2017. Likes Comments Share. It’s very informative but the tone is still pretty conversational, so it’s easy to follow along without having a PhD and 10 years of experience. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. You also wouldn’t be YouTube, which found themselves with this problem (gigantic data needs and several very different use cases of what they needed to do with that data) and went a different way: they built one analytics data system to serve them all. 27 min 2020 MAY 25. Linear Digressions. Procella, the system they built, is the topic of our episode today: by deconstructing the system, we dig into the four motivating uses of this system, the complexity they had to introduce to service all four uses simultaneously, and the impressive engineering that has to go into building something that “just works.”, Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. – Ouça o Linear Digressions instantaneamente no seu tablet, telefone ou navegador - sem fazer qualquer download. So long, and thanks for all the fish. Procella, the system they built, is the topic of our episode today: by deconstructing the system, we dig into the four motivating uses of this system, the complexity they had to introduce to service all four uses simultaneously, and the impressive engineering that has to go into building something that “just works.”, Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Ben Jaffe and Katie Malone. That’s not really a resource, sorry, but I think it’s important. Linear Digressions. I love listening to this show. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. Linear Digressions. Details. Linear Digressions is a podcast about machine learning and data science. That problem has motivated the study of differential privacy, a set of techniques and definitions for … Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 23:44 A Data Science Take on Open Policing Data Jul 13, 2020. This episode looks at two computer vision algorithms, one that diagnoses diabetic retinopathy and another that classifies liver cancer, and asks the question—are patients now getting better care, and achieving better outcomes, with these algorithms in the mix? Linear Digressions is a podcast about machine learning and data science. – Listen to Linear Digressions instantly on your tablet, phone or browser - no downloads needed. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.https://hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2. A Data Science Take on Open Policing Data. Follow Share. Name * Email Address * Subject * Message Thanks for your message! Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Linear Digressions. When a Case Field is specified, the input line features are first grouped according to case field values, and then an output line feature is created for each group. Technologie; Linear Digressions is a podcast about machine learning and data science. Getting a faster diagnosis from an image might not be an improvement if the image is now harder to capture (because of strict data quality requirements associated with the algorithm that wouldn’t stop a human doing the same job). The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.https://hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2. Linear Digressions Udacity Technology 4.8 • 328 Ratings; Listen on Apple Podcasts. In 10 minutes, each of these podcasts teaches me what would've taken days of reading to learn on my ownThe friendly, funny, conversational tone makes easy listening while the content still makes you think deeply about problems and learn a lot along the wayThese two make a great team between Katie's knowledge and experience in the field of data, and Ben's remarkable ability to spot curiosities in descriptions and pluck insightful metaphors or examples from the airI'm thoroughly enjoying these, listening to them in my spare time for pleasure, while also finding them incredibly relevant to my past studies and current work, All-In with Chamath, Jason, Sacks & Friedberg. The Kalman Filter is an algorithm for taking noisy measurements of dynamic systems and using them to get a better idea of the underlying dynamics than you could get from a simple extrapolation. Procella: YouTube's super-system for analytics data storage, This is a re-release of an episode that originally ran in October 2019.If you’re trying to manage a project that serves up analytics data for a few very distinct uses, you’d be wise to consider having custom solutions for each use case that are optimized for the needs and constraints of that use cases. This episode looks at two computer vision algorithms, one that diagnoses diabetic retinopathy and another that classifies liver cancer, and asks the question—are patients now getting better care, and achieving better outcomes, with these algorithms in the mix? Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Linear Digressions is a podcast about machine learning and data science. 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