829: Neuroscience Fueled By ML, With Prof. Bradley Voytek Super Data Science: ML & AI Podcast With Jon Krohn podcast

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Together, we're redefining what it means, looks and feels like, to be doing "woman's work" in the world today. With confidence and the occasional rant. From boardrooms to studios, kitchens to coding dens, we explore the multifaceted experiences of today's woman, confirming that the new definition of "woman's work" is whatever feels authentic, true, and right for you. We're shedding expectations, setting aside the "shoulds", giving our finger to the "supposed tos". We're torching the old playbook and writing our own rules. Who runs the world? You decide. Learn more at nicolekalil.com

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829: Neuroscience Fueled by ML, with Prof. Bradley Voytek

circa un anno fa 1:36:58

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Contenuto fornito da Jon Krohn. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Jon Krohn o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Breakthroughs in brain region communication [04:08]
The future of brain research and MedTech [35:24]
The libraries and software used at the Halicioglu Data Science Institute [45:11]
Brain rhythm as a diagnostic tool [1:02:58]
Bradley’s curriculum structure at UC San Diego [1:12:21]
How Uber applies data science [1:20:07]

Additional materials: www.superdatascience.com/829

… continue reading

960 episodi

#Data Science #Science #Tech #Software Development #Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

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829: Neuroscience Fueled by ML, with Prof. Bradley Voytek

Super Data Science: ML & AI Podcast with Jon Krohn

53 subscribers

published circa un anno fa

Condividi

MP3•Pagina principale dell'episodio

Contenuto fornito da Jon Krohn. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Jon Krohn o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Breakthroughs in brain region communication [04:08]
The future of brain research and MedTech [35:24]
The libraries and software used at the Halicioglu Data Science Institute [45:11]
Brain rhythm as a diagnostic tool [1:02:58]
Bradley’s curriculum structure at UC San Diego [1:12:21]
How Uber applies data science [1:20:07]

Additional materials: www.superdatascience.com/829

… continue reading

960 episodi

#Data Science #Science #Tech #Software Development #Jon Krohn

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882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips 9:45

3 giorni fa9:45

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9:45

This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips. Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI. Additional materials: www.superdatascience.com/882 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber 1:17:06

6 giorni fa1:17:06

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1:17:06

Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them. Additional materials: www.superdatascience.com/881 This episode is brought to you by ODSC , the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (08:36) Emily’s work on AWS’ SageMaker and Trainium (23:54) How AWS Neuron lets builders tailor their approach to using frameworks (29:07) Why using an accelerator is better than using a GPU (35:29) The key differences between AWS Trainium and AWS Trainium2 (52:45) How to select between AWS Trainium and AWS Trainium2…

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880: Manus, DeepSeek and China’s AI Boom 10:17

10 giorni fa10:17

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10:17

First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay? Additional materials: www.superdatascience.com/880 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson 1:07:14

13 giorni fa1:07:14

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1:07:14

Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications. Additional materials: www.superdatascience.com/879 This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:00) Zerve’s latest features (35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry (40:54) How to get started with Zerve (41:49) Will LLMs make SaaS companies redundant? (52:29) How to create fairer and more transparent AI systems (56:07) The future of software developer workflows…

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878: In Case You Missed It in March 2025 30:49

17 giorni fa30:49

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30:49

AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869). Additional materials: www.superdatascience.com/878 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta 1:09:32

20 giorni fa1:09:32

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1:09:32

NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively supporting actual life-or-death situations. Additional materials: www.superdatascience.com/877 This episode is brought to you by ODSC , the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:28) What neural processing units (NPUs) are (23:53) About Dell Pro AI Studio (35:03) Use cases for Dell Pro AI Studio (45:16) How AI development workflows and applications will change (49:01) About Dell’s AI factory ecosystem…

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876: Hugging Face’s smolagents: Agentic AI in Python Made Easy 15:11

24 giorni fa15:11

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15:11

Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday. Additional materials: www.superdatascience.com/876 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann 1:10:29

27 giorni fa1:10:29

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1:10:29

Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb. Additional materials: www.superdatascience.com/875 This episode is brought to you by the Dell AI Factory with NVIDIA . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (06:26) How Merck KGaA, Darmstadt, Germany supports groundbreaking developments in AI (13:42) Material science’s biggest challenges for AI (29:55) What heterogeneous integration is (34:37) How optical tech influences the electronics industry (49:04) Navigating upturns and downturns in the semiconductor industry (53:08) How AI regulations benefit humanity…

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874: How AI is Transforming Baseball (with Lessons For All of Us) 14:27

4 weeks fa14:27

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14:27

In this Five-Minute Friday, Jon Krohn talks baseball. For decades, coaches have relied on player performance stats to make in-game decisions and refine their season strategies. Now, AI led by Statcast is taking baseball strategy even further, massively broadening analytics data to include pitch, swing and catch trajectories, spin rates, biomechanical information, player matchups, and how to enhance player performances. Listen to the episode to find out what other industries can learn from the “data-friendly” sport of baseball. Additional materials: www.superdatascience.com/874 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot 1:12:32

5 weeks fa1:12:32

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1:12:32

Natalie Monbiot is an independent advisor and collaborator for projects that concern the “virtual human”, and she is “going all in on the virtual human economy”. Jon Krohn speaks to Natalie about these new ventures, how to mitigate the divide between AI users and nonusers, and how anyone can collaborate with AI without compromising their own creativity. Additional materials: www.superdatascience.com/873 This episode is brought to you by the Dell AI Factory with NVIDIA , by Trainium2, the latest AI chip from AWS and by ODSC, the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (07:21) Natalie’s influences for her work (18:30) Will machines surpass human intelligence? (29:08) Using LLMs as collaborators and partners (40:15) How platforms demand user engagement and time (56:54) Natalie Monbiot at Wizly…

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872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer 12:20

5 weeks fa12:20

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12:20

In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners. Additional materials: www.superdatascience.com/8 72 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake 1:13:11

6 weeks fa1:13:11

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1:13:11

Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. Additional materials: www.superdatascience.com/871 This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC , the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:10) How Richmond became a Staff Developer Advocate (07:40) How NoSQL database differs from a relational database (16:50) The advantages of working with the cloud-based MongoDB Atlas (32:26) Richmond’s predictions for agentic AI (40:38) How to create an effective AI strategy…

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870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes 17:22

6 weeks fa17:22

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17:22

In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily. Additional materials: www.superdatascience.com/870 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole 1:19:42

7 weeks fa1:19:42

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1:19:42

Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI. Additional materials: www.superdatascience.com/869 This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (10:44) Using deep learning to predict breast cancer (15:55) All about Varun’s Tuning Playbook (29:56) On the explosion of interest and news about AI and data science (46:35) About Varun’s Wise AI…

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868: In Case You Missed It in February 2025 26:31

7 weeks fa26:31

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26:31

How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”. Additional materials: www.superdatascience.com/868 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov 1:33:12

8 weeks fa1:33:12

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1:33:12

The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. Additional materials: www.superdatascience.com/867 This episode is brought to you by the Dell AI Factory with NVIDIA . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (07:38) Andriy’s “triology” of books on machine learning (29:32) On the limitations of AI agents (41:12) On the prospect of artificial general intelligence (AGI) (54:24) On developing a chatbot that doesn’t hallucinate (01:10:07) On open-weight and open-source LLMs…

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866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird 7:31

8 weeks fa7:31

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7:31

Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. Additional materials: www.superdatascience.com/866 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib 53:50

9 weeks fa53:50

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53:50

Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (09:32) How to scale a successful data science consultancy (22:25) How Pandata navigates highly regulated environments (27:59) How to tackle tech illiteracy in business (36:32) What skills Cals looks for in new hires (35:56) How to sell on a tech company Additional materials: www.superdatascience.com/865…

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864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper 8:17

9 weeks fa8:17

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8:17

Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet. Additional materials: www.superdatascience.com/864 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter 1:06:06

10 weeks fa1:06:06

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1:06:06

Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (05:57) All about the TabPFN architecture (21:27) Use cases for Bayesian inference (35:07) On getting published in Nature (44:03) How TabPFN handles time series data (51:52) All about Prior Labs Additional materials: www.superdatascience.com/863…

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862: In Case You Missed It in January 2025 31:51

10 weeks fa31:51

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31:51

In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI. Additional materials: www.superdatascience.com/862 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey 2:00:42

11 weeks fa2:00:42

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2:00:42

How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (05:49) Colleen’s path from athlete to data analyst (1:14:41) About the data build tool (DBT) (1:22:51) Colleen’s work at CHG Healthcare (1:32:45) How Colleen and Tia-Clair got started with PRVN GO Additional materials: www.superdatascience.com/861…

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860: DeepSeek R1: SOTA Reasoning at 1% of the Cost 13:08

11 weeks fa13:08

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13:08

DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work. Additional materials: www.superdatascience.com/860 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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859: BAML: The Programming Language for AI, with Vaibhav Gupta 59:30

12 weeks fa59:30

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59:30

In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:53) What BAML stands for (14:33) Making a prompt engineering a serious practice (18:00) How BAML helps companies (23:30) Using retrieval-augmented generation (RAG) (43:09) How to get a job at Boundary Additional materials: www.superdatascience.com/859…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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858: Are You The Account Executive We’re Looking For? 7:13

12 weeks fa7:13

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Riproduci in seguito

7:13

Are you an Account Executive with experience in the technology sector? In this Five-Minute Friday, Jon Krohn tells listeners about an exciting new role that has opened up at The SuperDataScience Podcast. Additional materials: www.superdatascience.com/858 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins 1:22:43

13 weeks fa1:22:43

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Riproduci in seguito

1:22:43

Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in AI agents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. You will learn how Coval, a simulation and evaluation platform for AI voice and chat agents, helps companies balance precision and scalability while making few concessions on the way. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (07:49) What Coval does and how the platform works (21:16) Coval’s workflows (37:40) The future of AI agents (46:28) The metrics to evaluate performance (55:08) How close we are to achieving AI agent autonomy Additional materials: www.superdatascience.com/857…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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856: The Fastest-Growing Jobs Are AI Jobs 10:02

13 weeks fa10:02

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Riproduci in seguito

10:02

Get excited: The fastest-growing jobs in the US are AI Engineer and AI Consultant. In this Five-Minute Friday, Jon Krohn looks into the reports that reveal this job growth, and the trends any data scientist and AI professional will want to watch in 2025. Additional materials: www.superdatascience.com/856 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar 1:28:12

14 weeks fa1:28:12

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1:28:12

How can we use AI to solve global problems like the environmental crisis, and how will future AI start to manage increasingly complex workflows? Famed futurist Azeem Azhar talks to Jon Krohn about the future of AI as a force for good, how we can stay mindful of an evolving job market, and Azeem’s favorite tools for automating his workflows. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (05:43) Azeem Azhar’s vision for AI’s future (14:16) How to prepare for technological shifts (20:35) How to be more like an AI-first company (38:46) The tools Azeem Azhar uses regularly (50:09) The benefits and risks of transitioning to renewable energy (1:09:28) Opportunities in the future workplace Additional materials: www.superdatascience.com/855…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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854: The Six Epochs of Intelligence Evolution 13:56

14 weeks fa13:56

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Riproduci in seguito

13:56

Join Jon Krohn as he unpacks Ray Kurzweil’s six epochs of intelligence evolution, a fascinating framework from The Singularity is Nearer. From the origins of atoms and molecules to the transformative future of brain-computer interfaces and cosmic intelligence, Jon explores how each stage builds upon the last. This quick yet profound journey reveals how humanity is shaping the Fifth Epoch—and hints at what’s next for intelligence in our universe. Additional materials: www.superdatascience.com/854 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.…

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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn podcast artwork

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853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves 1:29:00

15 weeks fa1:29:00

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Riproduci in seguito

1:29:00

Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all. bravotech.ai - Partner with Kirill & Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting. This episode is brought to you by ODSC , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (07:00) What are foundation models? (15:45) Overview of the foundation model lifecycle: 8 main steps. (29:11) Criteria for selecting the right foundation model for business use. (41:35) Exploring methods to customize foundation models. (53:04) Techniques to modify foundation models during deployment or inference. (01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker. Additional materials: www.superdatascience.com/853…

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