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This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth. This episode is brought to you by Iterative (https://iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What is decentralized intelligence? [3:46] • Dawn’s Responsible Data Economy collaboration with Meta AI [11:31] • How homomorphic encryption, differential privacy, and multi-party computation can work together [16:22] • How PrivateSQL makes differential privacy easy to use [22:54] • The relationship between deep learning and federated learning [37:55] • What is a responsible data economy [42:13] Additional materials: www.superdatascience.com/633
Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data. Additional materials: www.superdatascience.com/632 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that helps with meal planning, Luke is no stranger to portion sizes… This episode is brought to you by Iterative (https://iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Where Luke gets his inspiration for making YouTube videos [04:46] • How Luke got into creating comedy skits [08:21] • Luke’s favorite Python libraries for web scraping [14:41] • Incorrect assumptions that aspiring data scientists make [15:54] • The best time to use Power BI [19:15] • The biggest mistakes Luke made in his data science career [22:17] • Luke’s experience as a submariner and how it helped him in his data analyst career [38:13] • The must-have skills for entry-level data analyst roles [43:46] Additional materials: www.superdatascience.com/631
Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning. Additional materials: www.superdatascience.com/630 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data. This episode is brought to you by Iterative (https://iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Jodie’s background in psychology [2:19] • Jodie's tips for real-world data preparation [6:52] • Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:38] • What is a data science developer advocate? [38:44] • The books that Jodie's co-authored [46:15] • Jodie's favorite Python libraries [58:30] • How to have reproducible data science workflows [1:01:33] Additional materials: www.superdatascience.com/629
On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms. Additional materials: www.superdatascience.com/628 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning & Data Science is doing to increase inclusivity and representation in the field. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • The H2O AutoML platform Erin developed [07:43] • How genetic algorithms work [19:17] • Why you should consider using AutoML? [28:15] • The “No Free Lunch Theorem” [33:45] • What Admissible Machine Learning is [37:59] • What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00] • How to address bias in datasets [57:03] Additional materials: www.superdatascience.com/627
Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process. Additional materials: www.superdatascience.com/626 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Kim's role as Director of Research [5:02] • The unique real-time economic-data analytics of the blockchain [13:07] • How ML can predict patterns of criminal activity on the blockchain [18:56] • Interesting use cases of ML for crime investigation [29:37] • The tools and approaches Kim uses daily [47:44] • The future of crypto, blockchains, and data science [50:54] • Why a data science bootcamp helps people break into data science [53:42] Additional materials: www.superdatascience.com/625
On this week’s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google’s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant’s shiniest new tool to date. Additional materials: www.superdatascience.com/624 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What motivated Shashank to start his YouTube channel [04:31] • The must-have technical skills for every data scientist [16:59] • The soft skills needed for data science [20:52] • The differences between data analyst, data scientist and data engineer [24:26] • How data are currently being applied in the sports industry [38:38] • The “needs” divide between digital native and traditional companies [45:34] Additional materials: www.superdatascience.com/623
Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction. Additional materials: www.superdatascience.com/622 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What the role of a chief economist entails [5:50] • What are blockchains and cryptocurrency? [8:23] • How analyzing cryptocurrencies differs from established fiat currencies [12:48] • Philip's work at Chainalysis [26:07] • Philip's crypto data analytics pipeline [34:48] • How Philip develops data products for a wide range of users [46:18] • How the blockchain facilitates innovative computing and machine learning technologies [51:52] • What Philip looks for in the data scientists he hires [1:04:59] Additional materials: www.superdatascience.com/621
What’s your secret to superb audio recognition? Whisper it. We mean that literally—Whisper is the latest in OpenAI’s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI’s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how you can try it yourself, for free! Additional materials: www.superdatascience.com/620 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • The data problem that Erik’s company Modal Labs solves [04:32] • Erik’s prolific blogging career [09:15] • Opportunities for making data teams more efficient and productive [14:42] • Erik’s views on interviewing data scientists and software developers [20:18] • Erik’s tips and tricks for data science interviewees [31:35] • How Erik built Spotify’s original music recommendation system [38:58] • Applying vectors to other tools, and opportunities for working with vectors [47:45] • Using Annoy to search across vectors [50:57] • Building Python module Luigi for Spotify [55:20] • The tools that Erik loves to work with [1:06:23] Additional materials: www.superdatascience.com/619
Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment. Additional materials: www.superdatascience.com/618 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Sean on his new venture, Motif Analytics [4:23] • The relationship between causality and sequence analytics [15:26] • Sean's data science work at Lyft [22:21] • The key investments for large-scale causal experimentation [27:25] • Why and when is causal modeling helpful [32:34] • Causal modeling tools and recommendations [36:52] • Facebook's Prophet automation tool for forecasting [40:02] • What Sean looks for in data science hires [50:57] • Sean on his PhD in Information Systems [53:34] Additional materials: www.superdatascience.com/617
10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that’s flute playing or data wrangling. Additional materials: www.superdatascience.com/616 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21] • Why Nick believes in being a work generalist [12:37] • How DataLemur supports emerging data scientists for free [15:43] • Why Nick started DataLemur off the back of his book [21:31] • Portfolio essentials for any data scientist [22:36] • The three most common things data scientists get wrong at the interview [24:33] • How data science introverts can shift their mindset about self-promotion [37:58] • Great responses to end your data science interview on the right foot [42:21] Additional materials: www.superdatascience.com/615
World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance. Additional materials: www.superdatascience.com/614 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Comments (24)

Toben Nelson

a really nice and quick overview with just the right amount of detail.

Mar 3rd
Reply

Maryam Alizadeh

great thanks to you and your endeavors for this pod. I learnt a lot. welcome to Jon , wish you the best 👏👍

Jan 4th
Reply

Maryam Alizadeh

😢

Jan 4th
Reply

Masoud Fard

you are the best

Nov 19th
Reply

Nikhil Parmar

nice summarisation, Data Analyts looks at the past and data scientist looks at past and future

Oct 27th
Reply

Tough Nut

Great talk, very inspiring. thanks.

Aug 6th
Reply

Venkat M

Sleeps 3 hrs a day, not a good example for healthy person. sleep well and keep the brain more refreshed and healthy. #health

Mar 13th
Reply

Mehrdad Salimi

a lot of extra, unrelated stuff. Dude I appreciate your effort but you need to be specific and respect audiences' time.

Jan 19th
Reply

Maria Lacerda

Eu não conhecia Gabriela de Queiroz mas agora ouvindo esse podcast (já ouvi umas 5x) estou completamente encantada. Muito legal descobrir esse nível de profissional pelo mundo e ainda saber que trata-se de uma brasileira.

Dec 2nd
Reply

Natalia Zawadzka

Great job!👍 It's so interesting to listen your podcasts! thanks for sharing your knowledge and helping people to get into data business 🙌👍

Sep 10th
Reply

SriLatha K

Hi thanks for doing this podcast. Being a data engineer and who commutes a lot, I gain a lot from your podcasts. One suggestion that I would like to give is, it would be better if you do not interrupt the speaker until they complete their flow.

May 10th
Reply

Alberto Andrade

What amazing episode! Adrian rocks!! Congratulations!

Apr 25th
Reply

Simon SOUVANNARAT

Thanks for this advice !

Feb 6th
Reply

Troy Kirin

Great episode! I wish he touched on how to connect Sparklyr to data viz like Tableau!

Dec 10th
Reply

Richard Leyshon

thought this was one of my stoic podcast episodes! Great message.

Dec 1st
Reply

Ari Meier

Great episode! I'd love to access the show notes, but is having an issue pulling up the link.

Nov 10th
Reply

lourdchacal

Great job !!! Thank you Kirill

Oct 29th
Reply

Raghu Nair

great episode, but please mute/tone down background music

Oct 29th
Reply (1)

Somesh Narwade

So what you are saying is that I should aim for the stars so even if I fall I will land om the moon. This is motivational for me.

Oct 26th
Reply

Jan Willem Marck

deze zijn in een oud schip is oud emailadres hoe gaat de komende weken nog iets in een beetje bij

Oct 19th
Reply
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