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Published: Sept. 20, 2022, 5:54 p.m.
Duration: 19 minutes 33 seconds 00:00:09,034And here we are again with the season four of the Data Science at Home podcast.\\n200:00:09,142 --> 00:00:19,170This time we have something for you if you want to help us shape the data science leaders of the future, we have created the the Data Science at Home's Ambassador program.\\n300:00:19,340 --> 00:00:28,378Ambassadors are volunteers who are passionate about data science and want to give back to our growing community of data science professionals and enthusiasts.\\n400:00:28,534 --> 00:00:37,558You will be instrumental in helping us achieve our goal of raising awareness about the critical role of data science in cutting edge technologies.\\n500:00:37,714 --> 00:00:45,740If you want to learn more about this program, visit the Ambassadors page on our website@datascienceathome.com.\\n600:00:46,430 --> 00:00:49,234Welcome back to another episode of Data Science at Home podcast.\\n700:00:49,282 --> 00:00:55,426I'm Francesco Podcasting from the Regular Office of Amethyx Technologies, based in Belgium.\\n800:00:55,618 --> 00:01:02,914In this episode, I want to speak about a machine learning problem that has been formulated at Netflix.\\n900:01:03,022 --> 00:01:22,038And for the record, Netflix is not sponsoring this episode, though I still believe that this problem is a very well known problem, a very common one across factors, which is how to predict out of memory kill in an application and formulate this problem as a machine learning problem.\\n1000:01:22,184 --> 00:01:39,142So this is something that, as I said, is very interesting, not just because of Netflix, but because it allows me to explain a few points that, as I said, are kind of invariance across sectors.\\n1100:01:39,226 --> 00:01:56,218Regardless of your application, is a video streaming application or any other communication type of application, or a fintech application, or energy, or whatever, this memory kill, out of memory kill still occurs.\\n1200:01:56,314 --> 00:02:05,622And what is an out of memory kill? Well, it's essentially the extreme event in which the machine doesn't have any more memory left.\\n1300:02:05,756 --> 00:02:16,678And so usually the operating system can start eventually swapping, which means using the SSD or the hard drive as a source of memory.\\n1400:02:16,834 --> 00:02:19,100But that, of course, will slow down a lot.\\n1500:02:19,430 --> 00:02:45,210And eventually when there is a bug or a memory leak, or if there are other applications running on the same machine, of course there is some kind of limiting factor that essentially kills the application, something that occurs from the operating system most of the time that kills the application in order to prevent the application from monopolizing the entire machine, the hardware of the machine.\\n1600:02:45,710 --> 00:02:48,500And so this is a very important problem.\\n1700:02:49,070 --> 00:03:03,306Also, it is important to have an episode about this because there are some strategies that I've used at Netflix that are pretty much in line with what I"

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Listed in: Technology

Is studying AI in academia a waste of time? (Ep. 202)

Published: Sept. 13, 2022, 5:03 a.m.
Duration: 18 minutes 28 seconds

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Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

Published: Sept. 7, 2022, 5:14 a.m.
Duration: 19 minutes 35 seconds

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Online learning is better than batch, right? Wrong! (Ep. 200)

Published: June 13, 2022, 4:40 a.m.
Duration: 29 minutes 8 seconds

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What are generalist agents and why they can change the AI game (Ep. 199)

Published: June 3, 2022, 11:34 a.m.
Duration: 21 minutes 6 seconds

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Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

Published: May 27, 2022, 8:04 a.m.
Duration: 23 minutes 48 seconds

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Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

Published: May 16, 2022, 4:04 p.m.
Duration: 24 minutes 39 seconds

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State of Artificial Intelligence 2022 (Ep. 196)

Published: May 6, 2022, 6:37 a.m.
Duration: 20 minutes 26 seconds

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Improving your AI by finding issues within data pockets (Ep. 195)

Published: April 21, 2022, 5:38 a.m.
Duration: 33 minutes 3 seconds

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Fake data that looks, feels, and behaves like production.(Ep.194)

Published: April 13, 2022, 3:51 p.m.
Duration: 25 minutes 33 seconds

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Batteries and AI in Automotive (Ep. 193)

Published: April 1, 2022, 5:27 a.m.
Duration: 37 minutes 17 seconds

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Collect data at the edge [RB] (Ep. 192)

Published: March 25, 2022, 3:16 p.m.
Duration: 36 minutes 25 seconds

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Bayesian Machine Learning with Ravin Kumar (Ep. 191)

Published: March 19, 2022, 3:36 p.m.
Duration: 31 minutes 12 seconds

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What is spatial data science? With Matt Forest from Carto (Ep. 190)

Published: March 2, 2022, 11:10 a.m.
Duration: 25 minutes 31 seconds

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Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

Published: Feb. 22, 2022, 12:35 p.m.
Duration: 46 minutes 44 seconds

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History of data science [RB] (Ep. 188)

Published: Feb. 16, 2022, 8:54 a.m.
Duration: 39 minutes 54 seconds

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Artificial Intelligence and Cloud Automation with Leon Kuperman from Cast.ai (Ep. 187)

Published: Feb. 8, 2022, 11:54 a.m.
Duration: 40 minutes 28 seconds

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Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)

Published: Feb. 3, 2022, 8:59 a.m.
Duration: 49 minutes 12 seconds

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Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)

Published: Jan. 25, 2022, 6:51 a.m.
Duration: 34 minutes 5 seconds

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Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)

Published: Jan. 20, 2022, 8:42 a.m.
Duration: 25 minutes 30 seconds

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Embedded Machine Learning: Part 2 (Ep. 183)

Published: Jan. 15, 2022, 7:51 a.m.
Duration: 15 minutes 49 seconds

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Embedded Machine Learning: Part 1 (Ep.182)

Published: Jan. 10, 2022, 5:15 a.m.
Duration: 25 minutes

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History of Data Science (Ep. 181)

Published: Dec. 19, 2021, 5:30 a.m.
Duration: 39 minutes 51 seconds

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Capturing Data at the Edge (Ep. 180)

Published: Dec. 14, 2021, 7:20 a.m.
Duration: 35 minutes 34 seconds

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[RB] Composable Artificial Intelligence (Ep. 179)

Published: Dec. 7, 2021, 7:25 a.m.
Duration: 17 minutes 13 seconds

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What is a data mesh and why it is relevant (Ep. 178)

Published: Nov. 30, 2021, 6:40 a.m.
Duration: 16 minutes 5 seconds

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Environmentally friendly AI (Ep. 177)

Published: Nov. 23, 2021, 9:15 a.m.
Duration: 19 minutes 28 seconds

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Do you fear of AI? Why? (Ep. 176)

Published: Nov. 16, 2021, 5:27 a.m.
Duration: 20 minutes 18 seconds

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Composable models and artificial general intelligence (Ep. 175)

Published: Nov. 9, 2021, 12:55 p.m.
Duration: 16 minutes 37 seconds

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Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

Published: Nov. 2, 2021, 6:46 a.m.
Duration: 31 minutes 13 seconds

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Is neural hash by Apple violating our privacy? (Ep. 173)

Published: Oct. 26, 2021, 1:43 p.m.
Duration: 15 minutes 21 seconds

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Fighting Climate Change as a Technologist (Ep. 172)

Published: Oct. 19, 2021, 6:42 a.m.
Duration: 19 minutes 43 seconds

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AI in the Enterprise with IBM Global AI Strategist Mara Pometti (Ep. 171)

Published: Oct. 11, 2021, 5:20 a.m.
Duration: 35 minutes 2 seconds

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Speaking about data with Mikkel Settnes from Dreamdata.io (Ep. 170)

Published: Sept. 24, 2021, 1:05 p.m.
Duration: 34 minutes 28 seconds

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Send compute to data with POSH data-aware shell (Ep. 169)

Published: Sept. 14, 2021, 10:55 a.m.
Duration: 22 minutes 8 seconds

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How are organisations doing with data and AI? (Ep. 168)

Published: Sept. 7, 2021, 1:15 p.m.
Duration: 35 minutes 34 seconds

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Don't fight! Cooperate. Generative Teaching Networks (Ep. 167)

Published: Aug. 31, 2021, 1:03 p.m.
Duration: 16 minutes 3 seconds

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CSV sucks. Here is why. (Ep. 166)

Published: Aug. 24, 2021, 1:05 p.m.
Duration: 20 minutes 6 seconds

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Reinforcement Learning is all you need. Or is it? (Ep. 165)

Published: Aug. 17, 2021, 12:57 p.m.
Duration: 30 minutes 28 seconds

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What's happening with AI today? (Ep. 164)

Published: Aug. 11, 2021, 11:20 a.m.
Duration: 25 minutes 6 seconds

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2 effective ways to explain your predictions (Ep. 163)

Published: Aug. 3, 2021, 7:52 a.m.
Duration: 24 minutes 19 seconds

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The Netflix challenge. Fair or what? (Ep. 162)

Published: July 22, 2021, 8:04 a.m.
Duration: 21 minutes 56 seconds

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Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

Published: July 15, 2021, 1:30 p.m.
Duration: 32 minutes 38 seconds

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GitHub Copilot: yay or nay? (Ep. 159)

Published: July 6, 2021, 7:27 a.m.
Duration: 32 minutes 22 seconds

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Pandas vs Rust [RB] (Ep. 158)

Published: July 1, 2021, 5:24 a.m.
Duration: 31 minutes 35 seconds

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A simple trick for very unbalanced data (Ep. 157)

Published: June 22, 2021, 9:40 a.m.
Duration: 22 minutes 2 seconds

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Time to take your data back with Tapmydata (Ep. 156)

Published: June 15, 2021, 5:02 a.m.
Duration: 41 minutes 21 seconds

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True Machine Intelligence just like the human brain (Ep. 155)

Published: June 4, 2021, 6:18 a.m.
Duration: 33 minutes 36 seconds

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Delivering unstoppable data with Streamr (Ep. 154)

Published: May 26, 2021, 4:58 a.m.
Duration: 43 minutes

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MLOps: the good, the bad and the ugly (Ep. 153)

Published: May 24, 2021, 1:20 p.m.
Duration: 24 minutes 41 seconds

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MLOps: what is and why it is important Part 2 (Ep. 152)

Published: May 19, 2021, 7:02 a.m.
Duration: 30 minutes 37 seconds

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MLOps: what is and why it is important (Ep. 151)

Published: May 11, 2021, 6:12 a.m.
Duration: 33 minutes 4 seconds

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Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)

Published: April 28, 2021, 4:59 a.m.
Duration: 39 minutes 4 seconds

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Building high-growth data businesses with Lillian Pierson (Ep. 149)

Published: April 19, 2021, 6:29 a.m.
Duration: 25 minutes 33 seconds

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Learning and training in AI times (Ep. 148)

Published: April 13, 2021, 8 a.m.
Duration: 31 minutes 53 seconds

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You are the product [RB] (Ep. 147)

Published: April 11, 2021, 6:26 p.m.
Duration: 45 minutes 4 seconds

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Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)

Published: April 8, 2021, 5:39 a.m.
Duration: 32 minutes 52 seconds

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Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)

Published: March 26, 2021, 9:43 a.m.
Duration: 30 minutes 15 seconds

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Pandas vs Rust (Ep. 144)

Published: March 19, 2021, 12:23 p.m.
Duration: 31 minutes 40 seconds

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Concurrent is not parallel - Part 2 (Ep. 143)

Published: March 13, 2021, 7:46 a.m.
Duration: 15 minutes 21 seconds

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Concurrent is not parallel - Part 1 (Ep. 142)

Published: March 10, 2021, 12:26 p.m.
Duration: 32 minutes 10 seconds

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Backend technologies for machine learning in production (Ep. 141)

Published: March 2, 2021, 6:47 a.m.
Duration: 25 minutes 11 seconds

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You are the product (Ep. 140)

Published: Feb. 22, 2021, 4:16 p.m.
Duration: 45 minutes 4 seconds

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How to reinvent banking and finance with data and technology (Ep. 139)

Published: Feb. 15, 2021, 8:41 a.m.
Duration: 36 minutes 47 seconds

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What's up with WhatsApp? (Ep. 138)

Published: Feb. 7, 2021, 8:30 a.m.
Duration: 30 minutes 44 seconds

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Is Rust flexible enough for a flexible data model? (Ep. 137)

Published: Feb. 1, 2021, 7:54 a.m.
Duration: 28 minutes 37 seconds

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Is Apple M1 good for machine learning? (Ep.136)

Published: Jan. 25, 2021, 5:10 p.m.
Duration: 28 minutes 21 seconds

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Rust and deep learning with Daniel McKenna (Ep. 135)

Published: Jan. 18, 2021, 8:25 a.m.
Duration: 22 minutes 59 seconds

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Scaling machine learning with clusters and GPUs (Ep. 134)

Published: Dec. 31, 2020, 2:21 p.m.
Duration: 30 minutes 58 seconds

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What is data ethics? (Ep. 133)

Published: Dec. 19, 2020, 10:35 p.m.
Duration: 25 minutes 36 seconds

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A Standard for the Python Array API (Ep. 132)

Published: Dec. 8, 2020, 8:10 a.m.
Duration: 33 minutes 40 seconds

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What happens to data transfer after Schrems II? (Ep. 131)

Published: Dec. 4, 2020, 7 a.m.
Duration: 31 minutes 54 seconds

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Test-First Machine Learning [RB] (Ep. 130)

Published: Dec. 1, 2020, 10:48 a.m.
Duration: 20 minutes 51 seconds

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Similarity in Machine Learning (Ep. 129)

Published: Nov. 24, 2020, 8:40 a.m.
Duration: 30 minutes 19 seconds

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Distill data and train faster, better, cheaper (Ep. 128)

Published: Nov. 17, 2020, 9:12 a.m.
Duration: 23 minutes 46 seconds

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Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)

Published: Nov. 11, 2020, 7:27 a.m.
Duration: 24 minutes 19 seconds

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Top-3 ways to put machine learning models into production (Ep. 126)

Published: Nov. 7, 2020, 9:26 a.m.
Duration: 20 minutes 27 seconds

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Remove noise from data with deep learning (Ep.125)

Published: Nov. 3, 2020, 7:25 a.m.
Duration: 23 minutes 59 seconds

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What is contrastive learning and why it is so powerful? (Ep. 124)

Published: Oct. 30, 2020, 5:48 p.m.
Duration: 26 minutes 12 seconds

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Neural search (Ep. 123)

Published: Oct. 23, 2020, 4:06 a.m.
Duration: 19 minutes 18 seconds

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Let's talk about federated learning (Ep. 122)

Published: Oct. 18, 2020, 12:20 p.m.
Duration: 30 minutes 10 seconds

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How to test machine learning in production (Ep. 121)

Published: Oct. 11, 2020, 8:52 a.m.
Duration: 28 minutes 48 seconds

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Why synthetic data cannot boost machine learning (Ep. 120)

Published: Sept. 26, 2020, 11:57 a.m.
Duration: 23 minutes 23 seconds

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Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119)

Published: Sept. 16, 2020, 10:32 a.m.
Duration: 37 minutes 31 seconds

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Testing in machine learning: checking deeplearning models (Ep. 118)

Published: Sept. 4, 2020, 11:11 a.m.
Duration: 18 minutes 17 seconds

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Testing in machine learning: generating tests and data (Ep. 117)

Published: Aug. 29, 2020, 2:57 p.m.
Duration: 20 minutes 18 seconds

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Why you care about homomorphic encryption (Ep. 116)

Published: Aug. 12, 2020, 5:13 a.m.
Duration: 18 minutes 50 seconds

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Test-First machine learning (Ep. 115)

Published: Aug. 3, 2020, 2:16 p.m.
Duration: 19 minutes 44 seconds

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GPT-3 cannot code (and never will) (Ep. 114)

Published: July 26, 2020, 10:55 a.m.
Duration: 19 minutes 6 seconds

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Make Stochastic Gradient Descent Fast Again (Ep. 113)

Published: July 22, 2020, 8:53 a.m.
Duration: 20 minutes 35 seconds

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What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

Published: July 19, 2020, 10:30 a.m.
Duration: 21 minutes 10 seconds

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[RB] Its cold outside. Lets speak about AI winter (Ep. 111)

Published: July 3, 2020, 12:18 p.m.
Duration: 36 minutes 54 seconds

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Rust and machine learning #4: practical tools (Ep. 110)

Published: June 29, 2020, 8:30 a.m.
Duration: 24 minutes 18 seconds

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Rust and machine learning #3 with Alec Mocatta (Ep. 109)

Published: June 22, 2020, 9:48 a.m.
Duration: 23 minutes 58 seconds

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Rust and machine learning #2 with Luca Palmieri (Ep. 108)

Published: June 19, 2020, 9:17 a.m.
Duration: 27 minutes 2 seconds

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Rust and machine learning #1 (Ep. 107)

Published: June 17, 2020, 5:14 a.m.
Duration: 22 minutes 27 seconds

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Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)

Published: June 15, 2020, 5:29 a.m.
Duration: 16 minutes 20 seconds

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Compressing deep learning models: rewinding (Ep.105)

Published: June 1, 2020, 6:37 a.m.
Duration: 15 minutes 31 seconds

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Compressing deep learning models: distillation (Ep.104)

Published: May 20, 2020, 6:04 a.m.
Duration: 22 minutes 19 seconds

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Pandemics and the risks of collecting data (Ep. 103)

Published: May 8, 2020, 7:59 a.m.
Duration: 20 minutes 9 seconds

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Why average can get your predictions very wrong (ep. 102)

Published: April 19, 2020, 12:36 p.m.
Duration: 14 minutes 40 seconds

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Activate deep learning neurons faster with Dynamic RELU (ep. 101)

Published: April 1, 2020, 12:13 p.m.
Duration: 22 minutes 18 seconds

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WARNING!! Neural networks can memorize secrets (ep. 100)

Published: March 23, 2020, 6:49 a.m.
Duration: 24 minutes 16 seconds

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Attacks to machine learning model: inferring ownership of training data (Ep. 99)

Published: March 14, 2020, 9:15 a.m.
Duration: 19 minutes 39 seconds

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Don't be naive with data anonymization (Ep. 98)

Published: March 8, 2020, 3:33 p.m.
Duration: 13 minutes 41 seconds

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Why sharing real data is dangerous (Ep. 97)

Published: March 1, 2020, 8:20 a.m.
Duration: 10 minutes 35 seconds

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Building reproducible machine learning in production (Ep. 96)

Published: Feb. 22, 2020, 3:59 p.m.
Duration: 14 minutes 20 seconds

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Bridging the gap between data science and data engineering: metrics (Ep. 95)

Published: Feb. 14, 2020, 4:20 p.m.
Duration: 13 minutes 25 seconds

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A big welcome to Pryml: faster machine learning applications to production (Ep. 94)

Published: Feb. 7, 2020, 9:20 a.m.
Duration: 9 minutes 26 seconds

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It's cold outside. Let's speak about AI winter (Ep. 93)

Published: Dec. 31, 2019, 12:15 p.m.
Duration: 36 minutes 48 seconds

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The dark side of AI: bias in the machine (Ep. 92)

Published: Dec. 28, 2019, 7:12 a.m.
Duration: 20 minutes 26 seconds

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The dark side of AI: metadata and the death of privacy (Ep. 91)

Published: Dec. 23, 2019, 2:30 p.m.
Duration: 23 minutes

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The dark side of AI: recommend and manipulate (Ep. 90)

Published: Dec. 11, 2019, 10:07 a.m.
Duration: 20 minutes 33 seconds

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The dark side of AI: social media and the optimization of addiction (Ep. 89)

Published: Dec. 3, 2019, 2 a.m.
Duration: 22 minutes 45 seconds

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How to improve the stability of training a GAN (Ep. 88)

Published: Nov. 18, 2019, 2:30 a.m.
Duration: 28 minutes 20 seconds

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What if I train a neural network with random data? (with Stanisaw Jastrzebski) (Ep. 87)

Published: Nov. 12, 2019, 6:21 a.m.
Duration: 19 minutes 37 seconds

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Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)

Published: Nov. 5, 2019, 7:33 a.m.
Duration: 44 minutes 53 seconds

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[RB] How to generate very large images with GANs (Ep. 85)

Published: Nov. 4, 2019, 7:41 a.m.
Duration: 14 minutes 41 seconds

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More powerful deep learning with transformers (Ep. 84)

Published: Oct. 27, 2019, 6:59 a.m.
Duration: 37 minutes 44 seconds

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[RB] Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 83)

Published: Oct. 18, 2019, 3:13 a.m.
Duration: 37 minutes 47 seconds

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What is wrong with reinforcement learning? (Ep. 82)

Published: Oct. 15, 2019, 3:09 a.m.
Duration: 21 minutes 48 seconds

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Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)

Published: Oct. 10, 2019, 7:23 a.m.
Duration: 32 minutes 21 seconds

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Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)

Published: Oct. 1, 2019, 12:51 a.m.
Duration: 34 minutes 4 seconds

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[RB] How to scale AI in your organisation (Ep. 79)

Published: Sept. 26, 2019, 4:06 a.m.
Duration: 13 minutes 21 seconds

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Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)

Published: Sept. 23, 2019, 3:40 a.m.
Duration: 37 minutes 47 seconds

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Training neural networks faster without GPU [RB] (Ep. 77)

Published: Sept. 17, 2019, 3:32 a.m.
Duration: 22 minutes 21 seconds

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How to generate very large images with GANs (Ep. 76)

Published: Sept. 6, 2019, 12:45 p.m.
Duration: 14 minutes 41 seconds

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[RB] Complex video analysis made easy with Videoflow (Ep. 75)

Published: Aug. 29, 2019, 6:05 a.m.
Duration: 30 minutes 42 seconds

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[RB] Validate neural networks without data with Dr. Charles Martin (Ep. 74)

Published: Aug. 27, 2019, 12:01 a.m.
Duration: 44 minutes 46 seconds

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How to cluster tabular data with Markov Clustering (Ep. 73)

Published: Aug. 20, 2019, 10:40 p.m.
Duration: 20 minutes 43 seconds

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Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

Published: Aug. 14, 2019, 3:16 a.m.
Duration: 14 minutes 26 seconds

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Training neural networks faster without GPU (Ep. 71)

Published: Aug. 6, 2019, 4:37 a.m.
Duration: 22 minutes 21 seconds

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Validate neural networks without data with Dr. Charles Martin (Ep. 70)

Published: July 23, 2019, 4:38 a.m.
Duration: 44 minutes 46 seconds

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Complex video analysis made easy with Videoflow (Ep. 69)

Published: July 16, 2019, midnight
Duration: 30 minutes 42 seconds

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Episode 68: AI and the future of banking with Chris Skinner [RB]

Published: July 9, 2019, 2:37 p.m.
Duration: 41 minutes 42 seconds

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Episode 67: Classic Computer Science Problems in Python

Published: July 2, 2019, 7:07 a.m.
Duration: 28 minutes 35 seconds

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Episode 66: More intelligent machines with self-supervised learning

Published: June 25, 2019, 5:12 a.m.
Duration: 18 minutes 56 seconds

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Episode 65: AI knows biology. Or does it?

Published: June 23, 2019, 11:18 a.m.
Duration: 12 minutes 14 seconds

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Episode 64: Get the best shot at NLP sentiment analysis

Published: June 14, 2019, 12:21 p.m.
Duration: 12 minutes 58 seconds

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Episode 63: Financial time series and machine learning

Published: June 4, 2019, 10:35 a.m.
Duration: 21 minutes 8 seconds

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Episode 62: AI and the future of banking with Chris Skinner

Published: May 28, 2019, 6:50 a.m.
Duration: 42 minutes 3 seconds

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Episode 61: The 4 best use cases of entropy in machine learning

Published: May 21, 2019, 10:20 a.m.
Duration: 21 minutes 35 seconds

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Episode 60: Predicting your mouse click (and a crash course in deeplearning)

Published: May 16, 2019, 5:25 a.m.
Duration: 39 minutes 50 seconds

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Episode 59: How to fool a smart camera with deep learning

Published: May 7, 2019, 12:07 p.m.
Duration: 24 minutes 11 seconds

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Episode 58: There is physics in deep learning!

Published: April 30, 2019, 7:30 a.m.
Duration: 19 minutes 55 seconds

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Episode 57: Neural networks with infinite layers

Published: April 23, 2019, 8:04 a.m.
Duration: 16 minutes 19 seconds

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Episode 56: The graph network

Published: April 16, 2019, 6:32 a.m.
Duration: 16 minutes 34 seconds

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Episode 55: Beyond deep learning

Published: April 9, 2019, 6:47 a.m.
Duration: 17 minutes 23 seconds

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Episode 54: Reproducible machine learning

Published: March 9, 2019, 1:53 p.m.
Duration: 11 minutes 50 seconds

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Episode 53: Estimating uncertainty with neural networks

Published: Jan. 23, 2019, 8:37 a.m.
Duration: 15 minutes 8 seconds

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Episode 52: why do machine learning models fail? [RB]

Published: Jan. 17, 2019, 6:28 a.m.
Duration: 15 minutes 58 seconds

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Episode 51: Decentralized machine learning in the data marketplace (part 2)

Published: Jan. 8, 2019, 11:13 a.m.
Duration: 23 minutes 8 seconds

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Episode 50: Decentralized machine learning in the data marketplace

Published: Dec. 26, 2018, 4:06 p.m.
Duration: 24 minutes 17 seconds

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Episode 49: The promises of Artificial Intelligence

Published: Dec. 19, 2018, 7:56 p.m.
Duration: 21 minutes

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Episode 48: Coffee, Machine Learning and Blockchain

Published: Oct. 21, 2018, 8:42 p.m.
Duration: 28 minutes 48 seconds

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Episode 47: Are you ready for AI winter? [Rebroadcast]

Published: Sept. 11, 2018, 8:44 a.m.
Duration: 56 minutes 55 seconds

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Episode 46: why do machine learning models fail? (Part 2)

Published: Sept. 4, 2018, 9:07 a.m.
Duration: 17 minutes 12 seconds

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Episode 45: why do machine learning models fail?

Published: Aug. 28, 2018, 8:02 a.m.
Duration: 16 minutes 21 seconds

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Episode 44: The predictive power of metadata

Published: Aug. 21, 2018, 6:01 a.m.
Duration: 21 minutes 8 seconds

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Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

Published: Aug. 14, 2018, 6:22 a.m.
Duration: 36 minutes 32 seconds

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Episode 42: Attacking deep learning models (rebroadcast)

Published: Aug. 7, 2018, 5:21 a.m.
Duration: 29 minutes 4 seconds

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Episode 41: How can deep neural networks reason

Published: July 31, 2018, 5:16 a.m.
Duration: 18 minutes 3 seconds

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Episode 40: Deep learning and image compression

Published: July 24, 2018, 5:15 a.m.
Duration: 17 minutes 20 seconds

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Episode 39: What is L1-norm and L2-norm?

Published: July 19, 2018, 9:44 a.m.
Duration: 21 minutes 55 seconds

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Episode 38: Collective intelligence (Part 2)

Published: July 17, 2018, 7:45 a.m.
Duration: 46 minutes 36 seconds

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Episode 38: Collective intelligence (Part 1)

Published: July 12, 2018, 6:59 a.m.
Duration: 30 minutes 58 seconds

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Episode 37: Predicting the weather with deep learning

Published: July 9, 2018, 6:35 a.m.
Duration: 26 minutes 25 seconds

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Episode 36: The dangers of machine learning and medicine

Published: July 3, 2018, 11:44 a.m.
Duration: 22 minutes 7 seconds

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Episode 35: Attacking deep learning models

Published: June 29, 2018, 9:44 a.m.
Duration: 29 minutes 13 seconds

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Episode 34: Get ready for AI winter

Published: June 22, 2018, 9:05 a.m.
Duration: 59 minutes 4 seconds

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Episode 33: Decentralized Machine Learning and the proof-of-train

Published: June 11, 2018, 10:21 a.m.
Duration: 17 minutes 40 seconds

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Episode 32: I am back. I have been building fitchain

Published: June 4, 2018, 10:45 a.m.
Duration: 23 minutes 14 seconds

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Founder Interview Francesco Gadaleta of Fitchain

Published: May 24, 2018, 10:51 a.m.
Duration: 31 minutes 4 seconds

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Episode 31: The End of Privacy

Published: April 2, 2018, 10:37 a.m.
Duration: 39 minutes 3 seconds

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Episode 30: Neural networks and genetic evolution: an unfeasible approach

Published: Nov. 21, 2017, 12:15 p.m.
Duration: 22 minutes 19 seconds

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Episode 29: Fail your AI company in 9 steps

Published: Nov. 11, 2017, 5:44 p.m.
Duration: 14 minutes 27 seconds

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Episode 28: Towards Artificial General Intelligence: preliminary talk

Published: Nov. 4, 2017, 5:04 p.m.
Duration: 20 minutes 34 seconds

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Episode 27: Techstars accelerator and the culture of fireflies

Published: Oct. 30, 2017, 9 a.m.
Duration: 17 minutes 42 seconds

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Episode 26: Deep Learning and Alzheimer

Published: Oct. 23, 2017, 10:35 a.m.
Duration: 54 minutes 2 seconds

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Episode 25: How to become data scientist [RB]

Published: Oct. 16, 2017, 12:45 p.m.
Duration: 16 minutes 16 seconds

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Episode 24: How to handle imbalanced datasets

Published: Oct. 9, 2017, 12:45 a.m.
Duration: 21 minutes 21 seconds

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Episode 23: Why do ensemble methods work?

Published: Oct. 3, 2017, 11:05 a.m.
Duration: 18 minutes 59 seconds

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Episode 22: Parallelising and distributing Deep Learning

Published: Sept. 25, 2017, 3:38 p.m.
Duration: 19 minutes 42 seconds

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Episode 21: Additional optimisation strategies for deep learning

Published: Sept. 18, 2017, 12:23 p.m.
Duration: 15 minutes 8 seconds

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Episode 20: How to master optimisation in deep learning

Published: Aug. 28, 2017, 3:06 p.m.
Duration: 19 minutes 29 seconds

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Episode 19: How to completely change your data analytics strategy with deep learning

Published: Aug. 9, 2017, 3:39 p.m.
Duration: 15 minutes 56 seconds

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Episode 18: Machines that learn like humans

Published: March 28, 2017, 11 a.m.
Duration: 42 minutes 6 seconds

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Episode 17: Protecting privacy and confidentiality in data and communications

Published: Feb. 15, 2017, noon
Duration: 17 minutes 31 seconds

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Episode 16: 2017 Predictions in Data Science

Published: Dec. 23, 2016, noon
Duration: 20 minutes 31 seconds

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Episode 15: Statistical analysis of phenomena that smell like chaos

Published: Dec. 5, 2016, noon
Duration: 10 minutes 14 seconds

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Episode 14: The minimum required by a data scientist

Published: Sept. 27, 2016, 11 a.m.
Duration: 16 minutes 46 seconds

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Episode 13: Data Science and Fraud Detection at iZettle

Published: Sept. 6, 2016, 11 a.m.
Duration: 16 minutes 32 seconds

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Episode 12: EU Regulations and the rise of Data Hijackers

Published: July 26, 2016, 11 a.m.
Duration: 16 minutes 17 seconds

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Episode 11: Representative Subsets For Big Data Learning

Published: May 3, 2016, 11 a.m.
Duration: 21 minutes 25 seconds

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Episode 10: History and applications of Deep Learning

Published: March 14, 2016, 11 a.m.
Duration: 22 minutes 39 seconds

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Episode 9: Markov Chain Montecarlo with full conditionals

Published: March 2, 2016, noon
Duration: 17 minutes 57 seconds

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Episode 8: Frequentists and Bayesians

Published: Feb. 15, 2016, noon
Duration: 6 minutes 52 seconds

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Episode 7: 30 min with data scientist Sebastian Raschka

Published: Feb. 15, 2016, noon
Duration: 34 minutes 23 seconds

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Episode 6: How to be data scientist

Published: Jan. 19, 2016, noon
Duration: 15 minutes 11 seconds

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Episode 5: Development and Testing Practices in Data Science

Published: Jan. 13, 2016, noon
Duration: 7 minutes 38 seconds

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Episode 1: Predictions in Data Science for 2016

Published: Dec. 21, 2015, noon
Duration: 19 minutes 30 seconds

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Episode 4: BigData on your desk

Published: July 23, 2015, 11 a.m.
Duration: 16 minutes 49 seconds

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Episode 2: Networks and Graph Databases

Published: July 23, 2015, 11 a.m.
Duration: 22 minutes 49 seconds

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Episode 3: Data Science and Bio-Inspired Algorithms

Published: July 8, 2015, 11 a.m.
Duration: 14 minutes 49 seconds

Listed in: Technology