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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.
 
Podcast by Ben Jaffe and Katie Malone
 
Daily baseball statistical analysis and commentary
 
New Orleans own media icon Wild Wayne explores culture, cuisine and lifestyle in NOLA and beyond with co-pilot Shawn Royal
 
Daily baseball statistical analysis and commentary
 
Political talk without the boring parts—featuring the writers, activists and artists who shape the week in news. Hosted by Jon Wiener and presented by The Nation Magazine.
 
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Episode 872 Ben Clemens makes an appearance to discuss the implications of reported changes to MLB’s ownership rules that would make it easier for investment funds to buy minority stakes in teams, before we shift our attention to the postseason. We contemplate the changed baseball and how it has affected our viewing experience, what we have enj ...…
 
Episode 872 Ben Clemens makes an appearance to discuss the implications of reported changes to MLB’s ownership rules that would make it easier for investment funds to buy minority stakes in teams, before we shift our attention to the postseason. We contemplate the changed baseball and how it has affected our viewing experience, what we have enj ...…
 
Episode 872 Ben Clemens makes an appearance to discuss the implications of reported changes to MLB’s ownership rules that would make it easier for investment funds to buy minority stakes in teams, before we shift our attention to the postseason. We contemplate the changed baseball and how it has affected our viewing experience, what we have enj ...…
 
Episode 872 Ben Clemens makes an appearance to discuss the implications of reported changes to MLB’s ownership rules that would make it easier for investment funds to buy minority stakes in teams, before we shift our attention to the postseason. We contemplate the changed baseball and how it has affected our viewing experience, what we have enj ...…
 
Trump’s increasingly reckless efforts at intimidation reveal the increasingly desperate situation he has created for himself, where even Fox News has become an inconsistent and unreliable defender of his actions. Sasha Abramsky separates Trump’s efforts at distraction from the political reality he now faces. Also: With the Supreme Court back in ...…
 
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. If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. IMPORTANT NON-DATA SCIENCE CHICAGO MARAT ...…
 
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. If you've ever run a marathon, or been a nuclear missile, you probably know all about these challenges already. IMPORTANT NON-DATA SCIENCE CHICAGO MARAT ...…
 
The Supreme Court term began its fall term this week--and even though Brett Kavanaugh was confirmed at the start of last year’s court term, this year the Supremes’ decisions will be worse – a lot worse. Elie Mystal explains why—he’s the executive editor of Above the Law and a contributing writer for The Nation. Also: a new episode of ‘The Child ...…
 
Feature engineering is ubiquitous but gets surprisingly difficult surprisingly fast. What could be so complicated about just keeping track of what data you have, and how you made it? A lot, as it turns out—most data science platforms at this point include explicit features (in the product sense, not the data sense) just for keeping track of and ...…
 
Feature engineering is ubiquitous but gets surprisingly difficult surprisingly fast. What could be so complicated about just keeping track of what data you have, and how you made it? A lot, as it turns out—most data science platforms at this point include explicit features (in the product sense, not the data sense) just for keeping track of and ...…
 
The big question about impeachment is not the House -- there now seem to be enough votes there to pass at least one article of impeachment--the big question is about the Senate and whether some Republicans will abandon Trump. Former Republican Senator Jeff Flake says that at least 35 Republican senators would vote to remove Trump from office--I ...…
 
If you’re a data scientist or data engineer thinking about how to store data for analytics uses, one of the early choices you’ll have to make (or live with, if someone else made it) is how to lay out the data in your data warehouse. There are a couple common organizational schemes that you’ll likely encounter, and that we cover in this episode: ...…
 
If you’re a data scientist or data engineer thinking about how to store data for analytics uses, one of the early choices you’ll have to make (or live with, if someone else made it) is how to lay out the data in your data warehouse. There are a couple common organizational schemes that you’ll likely encounter, and that we cover in this episode: ...…
 
Episode 871 Managing editor of The Hardball Times Rachael McDaniel joins the program to discuss some recent THT highlights, the end of Félix Hernández’s career in Seattle, and what delights and dismays us about postseason baseball. You’ll find Rachael’s recent piece on Félix here. Miriam Zuo on the Houston Astros after Hurrican Harvey. Allison ...…
 
Episode 871 Managing editor of The Hardball Times Rachael McDaniel joins the program to discuss some recent THT highlights, the end of Félix Hernández’s career in Seattle, and what delights and dismays us about postseason baseball. You’ll find Rachael’s recent piece on Félix here. Miriam Zuo on the Houston Astros after Hurrican Harvey. Allison ...…
 
Episode 871 Managing editor of The Hardball Times Rachael McDaniel joins the program to discuss some recent THT highlights, the end of Félix Hernández’s career in Seattle, and what delights and dismays us about postseason baseball. You’ll find Rachael’s recent piece on Félix here. Miriam Zuo on the Houston Astros after Hurrican Harvey. Allison ...…
 
Episode 871 Managing editor of The Hardball Times Rachael McDaniel joins the program to discuss some recent THT highlights, the end of Félix Hernández’s career in Seattle, and what delights and dismays us about postseason baseball. You’ll find Rachael’s recent piece on Félix here. Miriam Zuo on the Houston Astros after Hurrican Harvey. Allison ...…
 
Trump finally went too far, even for Nancy Pelosi: he used money appropriated by Congress for foreign aid to pressure the president of Ukraine to come up with dirt on Joe Biden—dirt that Trump could use in the upcoming election. Jeet Heer comments – he’s National Affairs Correspondent for The Nation. Also: historian Eric Foner talks about about ...…
 
Data scientists and software engineers both work with databases, but they use them for different purposes. So if you’re a data scientist thinking about the best way to store and access data for your analytics, you’ll likely come up with a very different set of requirements than a software engineer looking to power an application. Hence the spli ...…
 
Data scientists and software engineers both work with databases, but they use them for different purposes. So if you’re a data scientist thinking about the best way to store and access data for your analytics, you’ll likely come up with a very different set of requirements than a software engineer looking to power an application. Hence the spli ...…
 
The 2020 election will liberate us from Donald Trump and Republican hegemony. A sweeping Democratic victory will make it possible at last for us to address our most serious problems. That’s what Stan Greenberg says – he’s a longtime pollster and adviser to Democratic presidents from Clinton to Obama. He’s also a bestselling author, with a new b ...…
 
There are a few things that seem to be very popular in discussions of machine learning algorithms these days. First is the role that algorithms play now, or might play in the future, when it comes to manipulating public opinion, for example with fake news. Second is the impressive success of generative adversarial networks, and similar algorith ...…
 
There are a few things that seem to be very popular in discussions of machine learning algorithms these days. First is the role that algorithms play now, or might play in the future, when it comes to manipulating public opinion, for example with fake news. Second is the impressive success of generative adversarial networks, and similar algorith ...…
 
Last week Tory rebels in parliament staged a dramatic insurrection against their own Prime Minister, Boris Johnson, blocking his plans for a “no-deal Brexit.” But virtually no Republicans in Congress have resisted Trump. Why is that? D.D. Guttenplan compares and contrasts the two parties and political systems – he’s editor of The Nation, and he ...…
 
Episode 870 FanGraphs senior writer Jay Jaffe joins the program to discuss the current potential for ties, and thus chaos, in the postseason field, Jay’s preference that the playoffs feature match ups of the game’s best rosters, and his predictions for which teams make it to October, and the World Series. We also discuss his impressions of the ...…
 
Episode 870 FanGraphs senior writer Jay Jaffe joins the program to discuss the current potential for ties, and thus chaos, in the postseason field, Jay’s preference that the playoffs feature match ups of the game’s best rosters, and his predictions for which teams make it to October, and the World Series. We also discuss his impressions of the ...…
 
Episode 870 FanGraphs senior writer Jay Jaffe joins the program to discuss the current potential for ties, and thus chaos, in the postseason field, Jay’s preference that the playoffs feature match ups of the game’s best rosters, and his predictions for which teams make it to October, and the World Series. We also discuss his impressions of the ...…
 
Episode 870 FanGraphs senior writer Jay Jaffe joins the program to discuss the current potential for ties, and thus chaos, in the postseason field, Jay’s preference that the playoffs feature match ups of the game’s best rosters, and his predictions for which teams make it to October, and the World Series. We also discuss his impressions of the ...…
 
When a big, established company is thinking about their data science strategy, chances are good that whatever they come up with, it’ll be somewhat at odds with the company’s current structure and processes. Which makes sense, right? If you’re a many-decades-old company trying to defend a successful and long-lived legacy and market share, you wo ...…
 
When a big, established company is thinking about their data science strategy, chances are good that whatever they come up with, it’ll be somewhat at odds with the company’s current structure and processes. Which makes sense, right? If you’re a many-decades-old company trying to defend a successful and long-lived legacy and market share, you wo ...…
 
How the Koch brothers transformed an obscure oil company based in Wichita into a $110 billion colossus, and reshaped the Republican Party—but failed to prevent Trump from becoming president: Christopher Leonard on Kochland: The Secret History of Koch Industries and Corporate Power in America. Also: Indivisible, the big network of local Democrat ...…
 
This is a re-release of an episode that originally aired on July 29, 2018.The stars aligned for me (Katie) this past weekend: I raced my first half-marathon in a long time and got to read a great article from the NY Times about a new running shoe that Nike claims can make its wearers run faster. Causal claims like this one are really tough to v ...…
 
This is a re-release of an episode that originally aired on July 29, 2018.The stars aligned for me (Katie) this past weekend: I raced my first half-marathon in a long time and got to read a great article from the NY Times about a new running shoe that Nike claims can make its wearers run faster. Causal claims like this one are really tough to v ...…
 
Episode 869 I welcome Ringer staff writer Michael Baumann to the program to discuss his recent piece on the Cleveland Browns and football’s burgeoning analytics revolution. We discuss the insights offered by erstwhile baseball executive Paul DePodesta on the lessons he took from the rise of empirics in baseball and the mistakes from sabermetric ...…
 
Episode 869 I welcome Ringer staff writer Michael Baumann to the program to discuss his recent piece on the Cleveland Browns and football’s burgeoning analytics revolution. We discuss the insights offered by erstwhile baseball executive Paul DePodesta on the lessons he took from the rise of empirics in baseball and the mistakes from sabermetric ...…
 
Episode 869 I welcome Ringer staff writer Michael Baumann to the program to discuss his recent piece on the Cleveland Browns and football’s burgeoning analytics revolution. We discuss the insights offered by erstwhile baseball executive Paul DePodesta on the lessons he took from the rise of empirics in baseball and the mistakes from sabermetric ...…
 
Episode 869 I welcome Ringer staff writer Michael Baumann to the program to discuss his recent piece on the Cleveland Browns and football’s burgeoning analytics revolution. We discuss the insights offered by erstwhile baseball executive Paul DePodesta on the lessons he took from the rise of empirics in baseball and the mistakes from sabermetric ...…
 
We’re still thinking about the terrorist attack in El Paso, where 22 people were killed at a Walmart and two dozen more were injured. Like almost all of these attacks, the El Paso killings have been treated as an isolated event carried out by a loner. But the attacks in Charleston, Charlottesville, Christchurch, El Paso and elsewhere are connec ...…
 
When data science is hard, sometimes it’s because the algorithms aren’t converging or the data is messy, and sometimes it’s because of organizational or business issues: the data scientists aren’t positioned correctly to bring value to their organization. Maybe they don’t know what problems to work on, or they build solutions to those problems ...…
 
When data science is hard, sometimes it’s because the algorithms aren’t converging or the data is messy, and sometimes it’s because of organizational or business issues: the data scientists aren’t positioned correctly to bring value to their organization. Maybe they don’t know what problems to work on, or they build solutions to those problems ...…
 
Episode 868 I welcome FanGraphs lead prospect writer Eric Longenhagen back to the program. We contemplate surprisingly expensive adult hobbies before Eric details his recent amateur scouting trip through various Southern California showcases, including Area Codes and the Perfect Game All-American Classic, while I share some take aways from a we ...…
 
Episode 868 I welcome FanGraphs lead prospect writer Eric Longenhagen back to the program. We contemplate surprisingly expensive adult hobbies before Eric details his recent amateur scouting trip through various Southern California showcases, including Area Codes and the Perfect Game All-American Classic, while I share some take aways from a we ...…
 
Episode 868 I welcome FanGraphs lead prospect writer Eric Longenhagen back to the program. We contemplate surprisingly expensive adult hobbies before Eric details his recent amateur scouting trip through various Southern California showcases, including Area Codes and the Perfect Game All-American Classic, while I share some take aways from a we ...…
 
Episode 868 I welcome FanGraphs lead prospect writer Eric Longenhagen back to the program. We contemplate surprisingly expensive adult hobbies before Eric details his recent amateur scouting trip through various Southern California showcases, including Area Codes and the Perfect Game All-American Classic, while I share some take aways from a we ...…
 
The latest polls—including the highly respected Fox poll—show Trump in terrible shape at this point: Among registered voters he trails Biden 50-38, Bernie 48-39, Elizabeth Warren 46-39, and even Kamala Harris 45-39. He’s losing crucial segments of his 2016 base. And in many of the states he carried last time, he’s deep into negative territory o ...…
 
We talk often about which features in a dataset are most important, but recently a new paper has started making the rounds that turns the idea of importance on its head: Data Shapley is an algorithm for thinking about which examples in a dataset are most important. It makes a lot of intuitive sense: data that’s just repeating examples that you’ ...…
 
We talk often about which features in a dataset are most important, but recently a new paper has started making the rounds that turns the idea of importance on its head: Data Shapley is an algorithm for thinking about which examples in a dataset are most important. It makes a lot of intuitive sense: data that’s just repeating examples that you’ ...…
 
Rocket scientist AND Pitmaster, Dr. Howard Conyers talks culinary history, grilling whole cows and value of education We kick off season 2 of the Wild WayneUnchained podcast AND recently ranked #3 in the WORLD! We salute all the people that have listened, downloaded, liked, commented, and spread the word about our pod! Our latest episode featur ...…
 
Episode 867 I welcome FanGraphs writer Craig Edwards back to the program to detail the current playoff landscape, check in on some tight (and not-so-tight) division races, and assess the October chances of Craig’s beloved St. Louis Cardinals. We also, though neither of us were aware of it at the time, engage in a series of reverse jinxes, befor ...…
 
Episode 867 I welcome FanGraphs writer Craig Edwards back to the program to detail the current playoff landscape, check in on some tight (and not-so-tight) division races, and assess the October chances of Craig’s beloved St. Louis Cardinals. We also, though neither of us were aware of it at the time, engage in a series of reverse jinxes, befor ...…
 
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