Linear Digressions Episodes; Contact; We make this podcast for you. Details. ... katie@lineardigressions.com . ~ Katie Malone, thank you! Likes Comments Share. A Reality Check on AI-Driven Medical Assistants. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. Ben Jaffe and Katie Malone. Followers Plays. So long, and thanks for all the fish. Share on Facebook Share on Twitter Share by Email. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Follow Share. 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. This is the best Data Science Podcast right now. Followers Plays. ), 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. 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. 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. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out … A great podcast, and I highly recommend. Followers Plays. ... which is something that Katie does a lot for her day job at Civis Analytics. Ben Jaffe and Katie Malone. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. 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. 35:44 So long, and thanks for all the fish Jul 26, 2020. Ben Jaffe and Katie Malone. Open in Pocket Casts. Survey Raking. Welcome to Katie Analytics. Beginner … Linear Digressions Ben Jaffe and Katie Malone. Ben Jaffe and Katie Malone. 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. The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. 30 min 2020 JUN 15. We love hearing from you. Play Episode. All good things must come to an end, including this podcast. Technology. 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 is a podcast about machine learning and data science. Linear Digressions. Linear Digressions is a podcast about machine learning and data science. 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. Linear Digressions is a podcast about machine learning and data science. Linear Digressions is a podcast about machine learning and data science. That’s not really a resource, sorry, but I think it’s important. 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. 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. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. 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. Play Episode. Subscribe to this podcast. OVERVIEW EPISODES YOU MAY ALSO LIKE. Love the puns! – Ouça o Linear Digressions instantaneamente no seu tablet, telefone ou navegador - sem fazer qualquer download. 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. 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 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? 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. At least one NEW video is posted each week. 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. A Data Science Take on Open Policing Data. 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. Ben Jaffe and Katie Malone. Let’s make this more concrete. 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 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 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 … Drop us a line! If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. 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. 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. 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. 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). 17 min 2017 OCT 23. Latest Episodes. Details. Likes Comments Share. Free videos about Excel, Power Pivot, Power Query and Power BI. 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. 14:00 A Reality Check on AI-Driven Medical Assistants Jul 19, 2020. Linear Digressions. Ben Jaffe and Katie Malone. 23:44 A Data Science Take on Open Policing Data Jul 13, 2020. 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. 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 by Ben Jaffe and Katie Malone Podcast by Ben Jaffe and Katie Malone. Linear Digressions is a podcast about machine learning and data science. Follow Share. Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. Data science, machine learning, artificial intelligence are topics that are big, messy, and full of things to discover. 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. lineardigressions.com. Por Ben Jaffe and Katie Malone at En Linear Digressions. Great fun listening to, and learning from, well researched discussions on interesting data science topics. The Case Field is used to group features for separate linear directional mean computations. 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. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Linear Digressions. Follow Share. It's quite common for survey respondents not to be representative of the larger population from which they are drawn. 10/10 Definitely would recommend you check out this podcast if you’re interested in learning (more) about data science. Follow Share. This is a re-release of an episode that was originally released on February 26, 2017. Linear Digressions is a podcast about machine learning and data science. Linear Digressions Udacity Technology 4.8 • 328 Ratings; Listen on Apple Podcasts. No signup or install needed. 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. The power of finely-grained, individual-level data comes with a drawback: it compromises the privacy of potentially anyone and everyone in the dataset. Her explanations are always clean and easy to understand, and Ben’s questions are always illuminating and clarifying. 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! 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 … 95 Followers 335 Plays. Katie and Ben, keep it up! 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. 27 min 2020 MAY 25. Linear Digressions. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. 292 Tracks. 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. Linear Digressions is a podcast about machine learning and data science. 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. Criminology and 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. 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. 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. 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. Technology; Episodes. 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. 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. 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. Likes Comments Share. Episodes cover a wide variety of interesting topics and applications—not exclusively academic or esoteric. – Listen to Linear Digressions instantly on your tablet, phone or browser - no downloads needed. HTML5 audio not supported. 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. 328 21286 Linear Digressions is a podcast about machine learning and data science. Very well presented, and the hosts are ace. Linear Digressions is a podcast about machine learning and data science. 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. But it's not just for winning wars, it's a fantastic go-to metric for all your classifier quality needs. I love listening to this show. 95 Followers 335 Plays. Linear Digressions. Copyright © 2020 Apple Inc. All rights reserved. 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. 1936 Followers. 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. Explorations in Machine Learning and Data Science. Details About Us. I’m starting to get into data analytics and data science, and this show has been PERFECT. 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. Thanks, best wishes, and good night!—Katie and Ben, A Reality Check on AI-Driven Medical Assistants. Linear Digressions is a podcast about machine learning and data science. Follow 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. Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that … 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! ), 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. That problem has motivated the study of differential privacy, a set of techniques and definitions for … Stream Tracks and Playlists from Linear Digressions on your desktop or mobile device. 291 EpisodesProduced by Ben Jaffe and Katie MaloneWebsite. Linear Digressions. Name * Email Address * Subject * Message Thanks for your message! Details. 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. 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. 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. Stein's Paradox. All-In with Chamath, Jason, Sacks & Friedberg. Linear Digressions. 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 by Ben Jaffe and Katie Malone. Listen to A Data Scientist's View Of The Fight Against Cancer and 290 more episodes by Linear Digressions, free! In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. 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. Linear Digressions is a podcast about machine learning and data science. The case field can be of integer, date, or string type. Play Episode. Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. 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. Your tablet, phone or browser - no downloads needed has been PERFECT least one video... A drawback: it compromises the privacy of potentially anyone and everyone in the dataset Field can be of,... Presented, and full of things to discover name * Email Address * *. Interested in learning ( more ) about data science, sorry, but this podcast you. Day job at Civis Analytics is used to group features for separate linear mean. 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On Twitter Share by Email discussions on interesting data science podcast is the next best thing the larger from. For separate linear directional mean computations or otherwise figure out sensitive personal information for de-identified datasets, can. And Katie Malone podcast by Ben Jaffe and Katie Malone podcast by Ben Jaffe and Katie....