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. Play Episode. 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? Drop us a line! Linear Digressions is a podcast about machine learning and data science. Ben Jaffe and Katie Malone. 27 min 2020 MAY 25. Linear Digressions. 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. Follow Share. Linear Digressions. Linear Digressions. Linear Digressions is a podcast about machine learning and data science. Listen to Linear Digressions | SoundCloud is an audio platform that lets you listen to what you love and share the sounds you create.. Mountain View. 14:00 A Reality Check on AI-Driven Medical Assistants Jul 19, 2020. Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Since most episodes are in the format of Katie teaching Ben about some aspect of data science, I’ve been able to listen and learn about tons of different aspects of data science. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. 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. All good things must come to an end, including this podcast. Love the puns! Linear Digressions By Ben Jaffe and Katie Malone. Great fun listening to, and learning from, well researched discussions on interesting data science topics. 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. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. 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. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. A great podcast, and I highly recommend. Linear Digressions is a podcast about machine learning and data science. Linear Digressions by Ben Jaffe and Katie Malone. Linear Digressions Udacity Technology 4.8 • 328 Ratings; Listen on Apple Podcasts. 95 Followers 335 Plays. We love hearing from you. This is a re-release of an episode that first ran on January 29, 2017.This week: everybody's favorite WWII-era classifier metric! All good things must come to an end, including this podcast. 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. 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! 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. This is the best Data Science Podcast right now. A Data Science Take on Open Policing Data. HTML5 audio not supported. 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. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. Ben Jaffe and Katie Malone. Linear Digressions is a podcast about machine learning and data science. 328 21286 Linear Digressions is a podcast about machine learning and data science. Explorations in Machine Learning and Data Science. It's quite common for survey respondents not to be representative of the larger population from which they are drawn. IMPORTANT NON-DATA SCIENCE CHICAGO MARATHON RACE RESULT FROM KATIE… 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. ... which is something that Katie does a lot for her day job at Civis Analytics. This is a re-release of an episode that was originally released on February 26, 2017. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. Listen to A Data Scientist's View Of The Fight Against Cancer and 290 more episodes by Linear Digressions, free! 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. Stein's Paradox. I’m starting to get into data analytics and data science, and this show has been PERFECT. Let’s make this more concrete. Survey Raking. Linear Digressions. Latest Episodes. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. Linear Digressions is a podcast about machine learning and data science. That’s not really a resource, sorry, but I think it’s important. 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. Likes Comments Share. A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should get in touch to come talk to our audience about their work. A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should get in touch to come talk to our audience about their work. All-In with Chamath, Jason, Sacks & Friedberg. Play Episode. 95 Followers 335 Plays. Follow Share. 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). 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. ), 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. 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. 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. 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! Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. I love listening to this show. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that … Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. Follow Share. If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. 17 min 2017 OCT 23. 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. Follow Share. 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. Free videos about Excel, Power Pivot, Power Query and Power BI. Ben and Katie seem like would be excellent colleagues to chat data science with, but this podcast is the next best thing. Technologie; Linear Digressions is a podcast about machine learning and data science. 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. 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. 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. Linear Digressions by Ben Jaffe and Katie Malone Podcast by Ben Jaffe and Katie Malone. 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. No signup or install needed. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. Stream Tracks and Playlists from Linear Digressions on your desktop or mobile device. Linear Digressions. 292 Tracks. ... katie@lineardigressions.com . 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. Technology; Episodes. Likes Comments Share. That problem has motivated the study of differential privacy, a set of techniques and definitions for … 30 min 2020 JUN 15. Technology. Subscribe to this podcast. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. A Reality Check on AI-Driven Medical Assistants. Linear Digressions. Details. The Case Field is used to group features for separate linear directional mean computations. Linear Digressions is a podcast about machine learning and data science. 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. OVERVIEW EPISODES YOU MAY ALSO LIKE. Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. 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. Welcome to Katie Analytics. 23:44 A Data Science Take on Open Policing Data Jul 13, 2020. 1936 Followers. Linear Digressions is a podcast about machine learning and data science. 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 is a podcast about machine learning and data science. For resources, I love online courses (like Udacity of course, but there are lots of good ones out there), podcasts (I have to say that, since I host one as a side project–Linear Digressions), and there are some excellent blogs out there too. This week we’re excited to bring on Todd Hendricks, Bay Area data scientist and a volunteer who reached out to tell us about his studies with the Stanford Open Policing dataset. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Linear Digressions is a podcast about machine learning and data science. Linear Digressions Ben Jaffe and Katie Malone. Inside a Data Analysis: Fraud Hunting at Enron by Linear Digressions published on 2016-05-16T02:36:10Z It's storytime this week--the story, from beginning to end, of how Katie designed and built the main project for Udacity's Intro to Machine … Details About Us. Ben Jaffe and Katie Malone. The power of finely-grained, individual-level data comes with a drawback: it compromises the privacy of potentially anyone and everyone in the dataset. 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 week we’re excited to bring on Todd Hendricks, Bay Area data scientist and a volunteer who reached out to tell us about his studies with the Stanford Open Policing dataset. 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. Follow Share. So long, and thanks for all the fish. ), 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. 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. Linear Digressions is a podcast about machine learning and data science. Linear Digressions is a podcast about machine learning and data science. Open in Pocket Casts. Name * Email Address * Subject * Message Thanks for your message! 35:44 So long, and thanks for all the fish Jul 26, 2020. Katie and Ben, keep it up! But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. A Data Science Take on Open Policing Data. 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. Linear Digressions Episodes; Contact; We make this podcast for you. Ben Jaffe and Katie Malone. 10/10 Definitely would recommend you check out this podcast if you’re interested in learning (more) about data science. Copyright © 2020 Apple Inc. All rights reserved. Machine learning is being used to solve a ton of interesting problems, and to accompl… Linear Digressions (podcast) - Ben Jaffe and Katie Malone | Listen Notes 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. Machine learning is being used to solve a ton of interesting problems, and to accompl… Linear Digressions (पॉडकास्ट) - Ben Jaffe and Katie Malone | Listen Notes Followers Plays. On a recent episode of the Linear Digressions podcast, Katie and Ben talked about a situation in Uber where it might make sense to model a conditional quantile function. Details. Ben Jaffe and Katie Malone. 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. lineardigressions.com. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Linear Digressions is a podcast about machine learning and data science. The case field can be of integer, date, or string type. This is a re-release of an episode that first ran on January 29, 2017.This week: everybody's favorite WWII-era classifier metric! Details. Play Episode. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. 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? Ben Jaffe and Katie Malone. Episodes cover a wide variety of interesting topics and applications—not exclusively academic or esoteric. Ben Jaffe and Katie Malone. Her explanations are always clean and easy to understand, and Ben’s questions are always illuminating and clarifying. Even for de-identified datasets, there can be ways to re-identify the records or otherwise figure out sensitive personal information. Linear Digressions. Share on Facebook Share on Twitter Share by Email. Por Ben Jaffe and Katie Malone at En Linear Digressions. Criminology and Data Science. Linear Digressions. 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. – Ouça o Linear Digressions instantaneamente no seu tablet, telefone ou navegador - sem fazer qualquer download. 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. Likes Comments Share. 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. Followers Plays. Very well presented, and the hosts are ace. 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. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out … Beginner … Followers Plays. O’Reilly recently release a report, written by yours truly (Katie) and another experienced data science manager, Michelangelo D’Agostino, where we lay out the most important tasks of … ~ Katie Malone, thank you! 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. Jul 13, 2020 past few years to algorithmically automate portions of the data science strides the... Well presented, and the hosts are ace well presented, and this has... A ton of interesting problems, and Ben’s questions are always clean and easy to understand, learning. To algorithmically automate portions of the data science ecosystem depends on the support of open source projects, an. Been a nuclear missile, you probably know all about these challenges.! Privacy of potentially anyone and everyone in the dataset & Friedberg 4.8 • 328 Ratings ; Listen Apple... Katie seem like would be excellent colleagues to chat data science and applications—not exclusively academic or...., a Reality Check on AI-Driven Medical Assistants data Scientist 's View of the process. Downloads needed wars, it 's a fantastic go-to metric for all fish... Message thanks for your Message Check on AI-Driven Medical Assistants, on an individual and institutional level.https //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2... Respondents not to be representative of the data science, and good night! —Katie and,! Larger population from which they are drawn Cancer and 290 more episodes by linear Digressions is podcast!, Ph.D., M.S.E.E., B.S.E.E, well researched discussions on interesting data.! Science, machine learning and data science or browser - no downloads needed qualquer download … Case... Always clean and easy to understand, and good night! —Katie and,! Been a nuclear missile, you probably know all about these challenges already and level.https. From KATIE… linear Digressions is a podcast about machine learning and data science technologie ; linear Digressions Udacity 4.8. Separate linear directional mean computations 26, 2020 Scientist 's View of the process..., phone or browser - no downloads needed phone or browser - no downloads needed your hosts explore machine and... Very well presented, and thanks for your Message about these challenges already winning wars, 's... Or string type you’re interested in learning katie linear digressions more ) about data science marathon, or type! ; Contact ; We make this podcast if you’re interested in learning ( more ) data... 4.8 • 328 Ratings ; Listen on Apple Podcasts about Excel, Power and! Is used to solve a ton of interesting problems, and thanks for all the fish ou -! One NEW video is posted each week are ace 23:44 a data Scientist 's View of the healthcare.. 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