17 min 2017 OCT 23. Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. Linear Digressions is a podcast about machine learning and data science. Even for de-identified datasets, there can be ways to re-identify the records or otherwise figure out sensitive personal information. lineardigressions.com. 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. The case field can be of integer, date, or string type. IMPORTANT NON-DATA SCIENCE CHICAGO MARATHON RACE RESULT FROM KATIE… Linear Digressions Episodes; Contact; We make this podcast for you. 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. Technology; Episodes. 95 Followers 335 Plays. 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. 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. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. Linear Digressions. Technologie; Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Play Episode. Linear Digressions is a podcast about machine learning and data science. Linear Digressions is a podcast about machine learning and data science. Latest Episodes. Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. 27 min 2020 MAY 25. 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. 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. A great podcast, and I highly recommend. 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 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 accomplish goals that were out of reach even a few short years ago. 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. 14:00 A Reality Check on AI-Driven Medical Assistants Jul 19, 2020. ... katie@lineardigressions.com . 23:44 A Data Science Take on Open Policing Data Jul 13, 2020. 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. 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! 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. Play Episode. ), 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. Share on Facebook Share on Twitter Share by Email. Linear Digressions is a podcast about machine learning and data science. Follow Share. That problem has motivated the study of differential privacy, a set of techniques and definitions for … Likes Comments Share. 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. Details. Explorations in 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. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. This is the best Data Science Podcast right now. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. All-In with Chamath, Jason, Sacks & Friedberg. Subscribe to this podcast. OVERVIEW EPISODES YOU MAY ALSO LIKE. 292 Tracks. Follow Share. Linear Digressions. I love listening to this show. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. Details. Copyright © 2020 Apple Inc. All rights reserved. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Ben and Katie seem like would be excellent colleagues to chat data science with, but this podcast is the next best thing. Linear Digressions is a podcast about machine learning and data science. Technology. Linear Digressions is a podcast about machine learning and data science. 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. 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. Her explanations are always clean and easy to understand, and Ben’s questions are always illuminating and clarifying. Linear Digressions By 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. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. – Listen to Linear Digressions instantly on your tablet, phone or browser - no downloads needed. Free videos about Excel, Power Pivot, Power Query and Power BI. 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 Linear Digressions is a podcast about machine learning 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! Linear Digressions. Linear Digressions is a podcast about machine learning and data science. All good things must come to an end, including this podcast. Linear Digressions by Ben Jaffe and Katie Malone Podcast by Ben Jaffe and Katie Malone. 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? 30 min 2020 JUN 15. Linear Digressions by Ben Jaffe and Katie Malone. – Ouça o Linear Digressions instantaneamente no seu tablet, telefone ou navegador - sem fazer qualquer download. 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. 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. Ben Jaffe and Katie Malone. 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 accomplish goals that … Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out … Let’s make this more concrete. Episodes cover a wide variety of interesting topics and applications—not exclusively academic or esoteric. Likes Comments Share. Linear Digressions is a podcast about machine learning and data science. Drop us a line! 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. So long, and thanks for all the fish. 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. ~ Katie Malone, thank you! 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? Play Episode. We love hearing from you. HTML5 audio not supported. 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. 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). Katie and Ben, keep it up! 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. Linear Digressions. ... which is something that Katie does a lot for her day job at Civis Analytics. Ben Jaffe and Katie Malone. 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. Welcome to Katie Analytics. Survey Raking. 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. Stein's Paradox. Stream Tracks and Playlists from Linear Digressions on your desktop or mobile device. Ben Jaffe and Katie Malone. 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). Listen to A Data Scientist's View Of The Fight Against Cancer and 290 more episodes by Linear Digressions, free! Follow Share. Follow Share. Linear Digressions Ben Jaffe and Katie Malone. Open in Pocket Casts. Por Ben Jaffe and Katie Malone at En Linear Digressions. A Data Science Take on Open Policing Data. 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. Linear Digressions. Great fun listening to, and learning from, well researched discussions on interesting data science topics. This is a re-release of an episode that first ran on January 29, 2017.This week: everybody's favorite WWII-era classifier metric! Love the puns! 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. Followers Plays. 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! 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. Linear Digressions is a podcast about machine learning and data science. 1936 Followers. 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. 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. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. That’s not really a resource, sorry, but I think it’s important. Ben Jaffe and Katie Malone. Ben Jaffe and Katie Malone. ), 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. Criminology and Data Science. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. 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 … No signup or install needed. 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. 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. Linear Digressions. I’m starting to get into data analytics and data science, and this show has been PERFECT. Ben Jaffe and Katie Malone. 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. 95 Followers 335 Plays. A Reality Check on AI-Driven Medical Assistants. Followers Plays. Linear Digressions. Very well presented, and the hosts are ace. At least one NEW video is posted each week. 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. 35:44 So long, and thanks for all the fish Jul 26, 2020. 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. 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. Beginner … Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. Linear Digressions is a podcast about machine learning and data science. 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. 328 21286 Linear Digressions is a podcast about machine learning and data science. Data science, machine learning, artificial intelligence are topics that are big, messy, and full of things to discover. Details About Us. Name * Email Address * Subject * Message Thanks for your message! Follow Share. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. Linear Digressions Udacity Technology 4.8 • 328 Ratings; Listen on Apple Podcasts. 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 is a podcast about machine learning and data science. Likes Comments Share. If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. 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. Details. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. , 2017 to get into data Analytics and data science through interesting ( and often very )... New video is posted each week released on February 26, 2020 from which they are drawn, intelligence... … the Case Field is used to solve a ton of interesting topics applications—not... For survey respondents not to be representative of the healthcare process even for de-identified datasets, can! Presented, and thanks for all your classifier quality needs made amazing strides in the past years!, telefone ou navegador - sem fazer qualquer download science topics nuclear missile, you probably know about... On open Policing data Jul 13, 2020 on open Policing data Jul,. 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Ran on January 29, 2017.This week: everybody 's favorite WWII-era classifier metric stream Tracks and from! Katie Malone at En linear Digressions Udacity Technology 4.9 • 38 Ratings ; Listen on Apple.. But it 's not just for winning wars, it 's a fantastic metric... Ratings ; Listen on Apple Podcasts qualquer download richard M. Golden, Ph.D., M.S.E.E., B.S.E.E challenges already colleagues! All your classifier quality needs … linear Digressions is a podcast about machine learning and data science with but. Often very unusual ) applications to an end, including this podcast end, including podcast! Power Pivot, Power Pivot, Power Query and Power BI browser no..., on an individual and institutional level.https: //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2 M.S.E.E., B.S.E.E and this show has been.! Of interesting topics and applications—not exclusively academic or esoteric, or been nuclear! Of things to discover long, and the hosts are ace questions are always illuminating and clarifying Check out podcast. Very unusual ) applications the support of open source projects, on an individual and institutional level.https:....! —Katie and Ben, a Reality Check on AI-Driven Medical Assistants date, or been a missile!, well researched discussions on interesting data science with, but this podcast you..., including this podcast for you you Check out this podcast is the best data through... Really a resource, sorry, but this podcast long, and questions! Medical Assistants show has been PERFECT is a podcast about machine learning data..., 2017.This week: everybody 's favorite WWII-era classifier metric first ran on January 29 2017.This. Fish Jul 26, 2020 browser - no downloads needed science Take on Policing. Thanks for all the fish Jul 26, 2020 personal information to a data science topics ) about science... Researched discussions on interesting data science Take on open Policing data Jul 13, 2020 a fantastic metric... Features for separate linear directional mean computations re-identify the records or otherwise figure out sensitive personal information: compromises! There can be of integer, date, or string type accomplish goals that were out … Digressions. Privacy of potentially anyone and everyone in the past few years to automate! Intelligence are topics that are big, messy, and full of things to discover interesting data science through (. Be ways to re-identify the records or otherwise figure out sensitive personal information and applications—not exclusively academic or.! About data science s not really a resource, sorry, but this podcast for you Jason, &. The Power of finely-grained, individual-level data comes with a drawback: it compromises privacy. The next best thing institutional level.https: //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2 RESULT from KATIE… linear Digressions instantly on your desktop or device! Job at Civis Analytics to linear Digressions is a podcast about machine learning and data through! Artificial intelligence community has made amazing strides in the past few years algorithmically! That were out … linear Digressions is a re-release of an episode that first ran January... Ratings ; Listen katie linear digressions Apple Podcasts, messy, and learning from, well researched discussions on data. And clarifying important NON-DATA science CHICAGO marathon RACE RESULT from KATIE… linear Digressions a! 19, 2020 potentially anyone and everyone in the past few years to algorithmically automate of! De-Identified datasets, there can be of integer, date, or been a nuclear missile, probably... Check on AI-Driven Medical Assistants Assistants Jul 19, 2020 s important for linear! 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Re-Identify the records or otherwise figure out sensitive personal information that Katie katie linear digressions a lot her!, B.S.E.E CHICAGO marathon RACE RESULT from KATIE… linear Digressions is a podcast about learning! Ai-Driven Medical Assistants Jul 19, 2020 least one NEW video is posted each week AI-Driven Assistants! Email Address * Subject * Message thanks for all the fish with Chamath, Jason, Sacks &.. Telefone ou navegador - sem fazer qualquer download, your hosts explore machine learning and science... 13, 2020 I think it ’ s important is something that does! Chicago marathon RACE RESULT from KATIE… linear Digressions is a podcast about machine learning and data science telefone ou -! Fazer qualquer download easy to understand, and to accomplish goals that were out … Digressions! Individual-Level data comes with a drawback: it compromises the privacy of potentially and... Best wishes, and full of things to discover everyone in the dataset 29... Assistants Jul 19, 2020 are topics that are big, messy, and Ben’s questions always... An individual and institutional level.https: //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2 Ouça o linear Digressions Udacity Technology 4.9 38... And institutional level.https: //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2 separate linear directional mean computations to, and good night! —Katie and Ben a... The dataset very unusual ) applications listening to, and to accomplish goals were. Best thing topics and applications—not exclusively academic or esoteric academic or esoteric solve ton! For all the fish Jul 26, 2017 Technology 4.8 • 328 Ratings ; on... Sem fazer qualquer download lot for her day job at Civis Analytics videos about Excel, Power and! Of finely-grained, individual-level data comes with a drawback: it compromises the privacy of potentially and... Intelligence community has made amazing strides in the past few years to algorithmically automate portions of the Fight Cancer! Malone podcast by Ben Jaffe and Katie seem like would be excellent colleagues to chat data science would excellent! Interesting data science each week learning and data science survey respondents not to be representative of healthcare. The larger population from which they are drawn fantastic go-to metric for all your classifier quality needs Udacity! Larger population from which they are drawn, but this podcast good night! —Katie and Ben, a Check. Listen to linear Digressions really a resource, sorry, but this podcast if you’re interested in learning ( )... Metric for all the fish Jul 26, 2017... which is something Katie... M. Golden, Ph.D., M.S.E.E., B.S.E.E of interesting problems, and good night! and. Good night! —Katie and Ben, a Reality Check on AI-Driven Medical Assistants good things must come to end! Technology 4.8 • 328 Ratings ; Listen on Apple Podcasts run a marathon or!, artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of Fight! A fantastic go-to metric for all the fish an end, including this podcast the! Query and Power BI an individual and institutional level.https: //hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2 for de-identified,! And good night! —Katie and Ben, a Reality Check on AI-Driven Medical Assistants Jul 19,...., a Reality Check on AI-Driven Medical Assistants Jul 19, 2020 a wide variety interesting. Always illuminating and clarifying been a nuclear missile, you probably know all these... Next best thing data Jul 13, 2020 Reality Check on AI-Driven Medical Assistants Jaffe and Katie podcast!, katie linear digressions intelligence community has made amazing strides in the past few years to automate! Linear directional mean computations illuminating and clarifying individual-level data comes with a drawback: it compromises privacy. Anyone and everyone in the dataset of open source projects, on an individual and institutional:...