Fresh Air: Jonah Hill

Jonah Hill: Acting Was An 'Amazing Derailment' On The Path To Directing
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RL Course by David Silver - Lecture 2: Markov Decision Process

#Reinforcement Learning Course by David Silver# Lecture 2: Markov Decision Process #Slides and more info about the course: http://goo.gl/vUiyjq

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RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning

#Reinforcement Learning Course by David Silver# Lecture 1: Introduction to Reinforcement Learning #Slides and more info about the course: http://goo.gl/vUiyjq

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BLAH 79 | The Battles of Ice and Fire

In Sean’s second consecutive month with a leave of abscence, Stefan is joined by Jim McGeehin, who writes the famous tumblr “Wars and Politics of Ice and Fire” and goes by the handle of “Something like a lawyer”. While his lawyering status may be somewhat in doubt, his command of the material is not.

Jim’s command of military and political matters is almost without equal in the fandom, and while he is too modest to accept the monicker of “expert” that Stefan tried to bestow on him, that’s really what he is. So it would be malpractice not to put his expertise to the test!

What we talk about in this episode are the upcoming Battles of Ice and Fire, referring to Stannis’ fight against Freys and Boltons and Barristan’s fight against the Yunkish in the expected opening of “The Winds of Winter”, when it finally arrives. We talk military strategy as well as political strategy, being aware that in a feudal society, no one can seperate both. We also venture into the literary qualities and discuss some more elaborate fan theories.

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DS@H 11: Representative Subsets For Big Data Learning

How would you perform accurate classification on a very large dataset by just looking at a sample of it

 

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DS@H 10: History and applications of Deep Learning

What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and data transformation e.g. from pixel, to edges, to shapes, to object classification, to scene description, captioning, etc.

 

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DS@H 9: Markov Chain Montecarlo with full conditionals

At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.

 

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DS@H 8: Frequentists and Bayesians

There are statisticians and data scientists... Among statisticians, there are some who just count. Some others who… think differently. In this show we explore the old time dilemma between frequentists and bayesians.Given a statistical problem, who’s going to be right?

 

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DS@H 7: 30 min with data scientist Sebastian Raschka

In this show I interview Sebastian Raschka, data scientist and author of Python Machine Learning.In addition to the fun we had offline, there are great elements about machine learning, data science, current and future trends, to keep an ear on. Moreover, it is the conversation of two data scientists who contribute and operate in the field, on a daily basis.

 

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DS@H 6: How to be data scientist

In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.

 

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DS@H 5: Development and Testing Practices in Data Science

Should data scientists follow the old good practices of software engineering? Data scientists make software after all.

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DS@H 2: Networks and Graph Databases

Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.

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IQ2US: Progressive Populism Will Save the Democratic Party

As Democratic leaders and strategists gear up for the 2018 and 2020 elections, the party stands at a crossroads. For progressive populists, the path forward is clear: Democrats must get back in touch with the party’s working-class roots by championing a specific set of policies, including Medicare for all, free public college tuition, a guaranteed federal jobs program, and housing as a human right. They say this strategy is key to winning back disillusioned working-class voters and to regaining power in Washington and beyond. But others view this as a dangerous path. They argue that a handful of high-profile progressive wins have been overhyped by the media and, rather than make promises that may be impossible to execute in this political climate, Democrats should champion centrist, economically viable policies that will win elections and solidify the base. How can the Democratic Party, out of power and outnumbered in Washington D.C. and state capitals across the nation, bring itself out of the political wilderness?

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GBBP 195: R.A. Salvatore

This week, we’re headed to the Forgotten Realms with superstar author R.A. Salvatore! Thirty years ago, Salvatore created the dark elf Drizzt Do’Urden. Over the course of more than 30 books, he’s explored the legend of Drizzt from all angles and plumbed nearly every corner of his world. But there’s always more story to tell. And his newest book, Timeless, kicks off a new trilogy that serves as a prequel of sorts. The book focuses on Drizzt’s father, Zaknafein, and is a fascinating prelude to the journeys that have shaped the modern-day Forgotten Realms (part of the Dungeons & Dragons universe).

Salvatore is one of fantasy’s most recognizable and successful authors. His books have sold millions of copies, and he’s been on the New York Times bestseller list dozens of times. According to many, he’s considered the father of modern epic fantasy. In addition to the millions of words he’s written for Drizzt and the Forgotten Realms, Salvatore has also helped build numerous other worlds, including The DemonWars Saga, the Crimson Shadow, Star Wars, and so much more.

On this episode, we talk with Salvatore about his many years playing in the Forgotten Realms sandbox, the freedom he had to develop the world and characters, returning to Drizzt with Timeless, playing EverQuest, novelizing Star Wars with Attack of the Clones, and killing Chewbacca.

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IQ2US: Retail Alliances – Not Washington – Will Save the U.S. Health Care System

Last year, Intelligence Squared U.S. and the Mayo Clinic brought to the stage a bold inquiry about whether health care in the United States is terminally broken. And this year, we’re picking up where that discussion left off, against the backdrop of corporate behemoths announcing mergers that, they say, are sure to shake up health care – from the Amazon, Berkshire Hathaway, and JPMorgan Chase venture, to the CVS-Aetna deal, to the Humana-Walgreens partnership, and more. But while these superpower alliances are making a splash in the headlines, will they actually be able to disrupt, and save, U.S. health care? Proponents argue that the bargaining power and data competencies of these retailers will squeeze middlemen out of an inefficient supply chain and bring more transparency to health care pricing. But others argue that the promise of these novel efforts is overstated or misguided, particularly because U.S. health care is so complex and deeply rooted. Will consumer-focused models and employer-led initiatives lead to better and less expensive outcomes?

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