Best Hugo Bowne Anderson Podcasts (2024)

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Episode 31: Rethinking Data Science, Machine Learning, and AI 1:36:04

3d ago1:36:04

1:36:04

Hugo speaks with Vincent Warmerdam, a senior data professional and machine learning engineer at :probabl, the exclusive brand operator of scikit-learn. Vincent is known for challenging common assumptions and exploring innovative approaches in data science and machine learning. In this episode, they dive deep into rethinking established methods in d…

1
Episode 30: Lessons from a Year of Building with LLMs (Part 2) 1:15:23

14d ago1:15:23

1:15:23

Hugo speaks about Lessons Learned from a Year of Building with LLMs with Eugene Yan from Amazon, Bryan Bischof from Hex, Charles Frye from Modal, Hamel Husain from Parlance Labs, and Shreya Shankar from UC Berkeley. These five guests, along with Jason Liu who couldn't join us, have spent the past year building real-world applications with Large Lan…

1
Episode 29: Lessons from a Year of Building with LLMs (Part 1) 1:30:21

14d ago1:30:21

1:30:21

Hugo speaks about Lessons Learned from a Year of Building with LLMs with Eugene Yan from Amazon, Bryan Bischof from Hex, Charles Frye from Modal, Hamel Husain from Parlance Labs, and Shreya Shankar from UC Berkeley. These five guests, along with Jason Liu who couldn't join us, have spent the past year building real-world applications with Large Lan…

1
Episode 28: Beyond Supervised Learning: The Rise of In-Context Learning with LLMs 1:05:38

1M ago1:05:38

1:05:38

Hugo speaks with Alan Nichol, co-founder and CTO of Rasa, where they build software to enable developers to create enterprise-grade conversational AI and chatbot systems across industries like telcos, healthcare, fintech, and government. What's super cool is that Alan and the Rasa team have been doing this type of thing for over a decade, giving th…

1
Episode 27: How to Build Terrible AI Systems 1:32:24

1M ago1:32:24

1:32:24

Hugo speaks with Jason Liu, an independent consultant who uses his expertise in recommendation systems to help fast-growing startups build out their RAG applications. He was previously at Meta and Stitch Fix is also the creator of Instructor, Flight, and an ML and data science educator. They talk about how Jason approaches consulting companies acro…

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Episode 26: Developing and Training LLMs From Scratch 1:51:35

2M ago1:51:35

1:51:35

Hugo speaks with Sebastian Raschka, a machine learning & AI researcher, programmer, and author. As Staff Research Engineer at Lightning AI, he focuses on the intersection of AI research, software development, and large language models (LLMs). How do you build LLMs? How can you use them, both in prototype and production settings? What are the buildi…

1
Episode 25: Fully Reproducible ML & AI Workflows 1:20:38

4M ago1:20:38

1:20:38

Hugo speaks with Omoju Miller, a machine learning guru and founder and CEO of Fimio, where she is building 21st century dev tooling. In the past, she was Technical Advisor to the CEO at GitHub, spent time co-leading non-profit investment in Computer Science Education for Google, and served as a volunteer advisor to the Obama administration’s White …

1
Episode 24: LLM and GenAI Accessibility 1:30:03

5M ago1:30:03

1:30:03

Hugo speaks with Johno Whitaker, a Data Scientist/AI Researcher doing R&D with answer.ai. His current focus is on generative AI, flitting between different modalities. He also likes teaching and making courses, having worked with both Hugging Face and fast.ai in these capacities. Johno recently reminded Hugo how hard everything was 10 years ago: “W…

1
Episode 23: Statistical and Algorithmic Thinking in the AI Age 1:20:37

7M ago1:20:37

1:20:37

Hugo speaks with Allen Downey, a curriculum designer at Brilliant, Professor Emeritus at Olin College, and the author of Think Python, Think Bayes, Think Stats, and other computer science and data science books. In 2019-20 he was a Visiting Professor at Harvard University. He previously taught at Wellesley College and Colby College and was a Visiti…

1
Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering 1:20:07

8M ago1:20:07

1:20:07

Jeremy Howard (Fast.ai), Shreya Shankar (UC Berkeley), and Hamel Husain (Parlance Labs) join Hugo Bowne-Anderson to talk about how LLMs and OpenAI are changing the worlds of data science, machine learning, and machine learning engineering. Jeremy Howard is co-founder of fast.ai, an ex-Chief Scientist at Kaggle, and creator of the ULMFiT approach on…

1
Episode 21: Deploying LLMs in Production: Lessons Learned 1:08:11

8M ago1:08:11

1:08:11

Hugo speaks with Hamel Husain, a machine learning engineer who loves building machine learning infrastructure and tools 👷. Hamel leads and contributes to many popular open-source machine learning projects. He also has extensive experience (20+ years) as a machine learning engineer across various industries, including large tech companies like Airbn…

1
Episode 20: Data Science: Past, Present, and Future 1:26:39

9M ago1:26:39

1:26:39

Hugo speaks with Chris Wiggins (Columbia, NYTimes) and Matthew Jones (Princeton) about their recent book How Data Happened, and the Columbia course it expands upon, data: past, present, and future. Chris is an associate professor of applied mathematics at Columbia University and the New York Times’ chief data scientist, and Matthew is a professor o…

1
Episode 19: Privacy and Security in Data Science and Machine Learning 1:23:19

11M ago1:23:19

1:23:19

Hugo speaks with Katharine Jarmul about privacy and security in data science and machine learning. Katharine is a Principal Data Scientist at Thoughtworks Germany focusing on privacy, ethics, and security for data science workflows. Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data proc…

1
Episode 18: Research Data Science in Biotech 1:12:42

1y ago1:12:42

1:12:42

Hugo speaks with Eric Ma about Research Data Science in Biotech. Eric leads the Research team in the Data Science and Artificial Intelligence group at Moderna Therapeutics. Prior to that, he was part of a special ops data science team at the Novartis Institutes for Biomedical Research's Informatics department. In this episode, Hugo and Eric talk ab…

1
Episode 17: End-to-End Data Science 1:16:04

1+ y ago1:16:04

1:16:04

Hugo speaks with Tanya Cashorali, a data scientist and consultant that helps businesses get the most out of data, about what end-to-end data science looks like across many industries, such as retail, defense, biotech, and sports, including scoping out projects, figuring out the correct questions to ask, how projects can change, delivering on the pr…

1
Episode 16: Data Science and Decision Making Under Uncertainty 1:23:15

1+ y ago1:23:15

1:23:15

Hugo speaks with JD Long, agricultural economist, quant, and stochastic modeler, about decision making under uncertainty and how we can use our knowledge of risk, uncertainty, probabilistic thinking, causal inference, and more to help us use data science and machine learning to make better decisions in an uncertain world. This is part 2 of a two pa…

1
Episode 15: Uncertainty, Risk, and Simulation in Data Science 53:30

1+ y ago53:30

53:30

Hugo speaks with JD Long, agricultural economist, quant, and stochastic modeler, about decision making under uncertainty and how we can use our knowledge of risk, uncertainty, probabilistic thinking, causal inference, and more to help us use data science and machine learning to make better decisions in an uncertain world. This is part 1 of a two pa…

1
Episode 14: Decision Science, MLOps, and Machine Learning Everywhere 1:09:01

1+ y ago1:09:01

1:09:01

Hugo Bowne-Anderson, host of Vanishing Gradients, reads 3 audio essays about decision science, MLOps, and what happens when machine learning models are everywhere. Links Our upcoming Vanishing Gradients live recording of Data Science and Decision Making Under Uncertainty with Hugo and JD Long! Decision-Making in a Time of Crisis by Hugo Bowne-Ander…

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Episode 13: The Data Science Skills Gap, Economics, and Public Health 1:22:41

1+ y ago1:22:41

1:22:41

Hugo speak with Norma Padron about data science education and continuous learning for people working in healthcare, broadly construed, along with how we can think about the democratization of data science skills more generally. Norma is CEO of EmpiricaLab, where her team‘s mission is to bridge work and training and empower healthcare teams to focus…

1
Episode 12: Data Science for Social Media: Twitter and Reddit 1:32:45

2y ago1:32:45

1:32:45

Hugo speakswith Katie Bauer about her time working in data science at both Twitter and Reddit. At the time of recording, Katie was a data science manager at Twitter and prior to that, a founding member of the data team at Reddit. She’s now Head of Data Science at Gloss Genius so congrats on the new job, Katie! In this conversation, we dive into wha…

1
Episode 11: Data Science: The Great Stagnation 1:45:38

2y ago1:45:38

1:45:38

Hugo speaks with Mark Saroufim, an Applied AI Engineer at Meta who works on PyTorch where his team’s main focus is making it as easy as possible for people to deploy PyTorch in production outside Meta. Mark first came on our radar with an essay he wrote called Machine Learning: the Great Stagnation, which was concerned with the stagnation in machin…

1
Episode 10: Investing in Machine Learning 1:26:33

2y ago1:26:33

1:26:33

Hugo speaks with Sarah Catanzaro, General Partner at Amplify Partners, about investing in data science and machine learning tooling and where we see progress happening in the space. Sarah invests in the tools that we both wish we had earlier in our careers: tools that enable data scientists and machine learners to collect, store, manage, analyze, a…

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9: AutoML, Literate Programming, and Data Tooling Cargo Cults 1:41:42

2y ago1:41:42

1:41:42

Hugo speaks with Hamel Husain, Head of Data Science at Outerbounds, with extensive experience in data science consulting, at DataRobot, Airbnb, and Github. In this conversation, they talk about Hamel's early days in data science, consulting for a wide array of companies, such as Crocs, restaurants, and casinos in Las Vegas, diving into what data sc…

1
Episode 8: The Open Source Cybernetic Revolution 1:05:57

2y ago1:05:57

1:05:57

Hugo speaks with Peter Wang, CEO of Anaconda, about what the value proposition of data science actually is, data not as the new oil, but rather data as toxic, nuclear sludge, the fact that data isn’t real (and what we really have are frozen models), and the future promise of data science. They also dive into an experimental conversation around open…

1
Episode 7: The Evolution of Python for Data Science 1:02:31

2y ago1:02:31

1:02:31

Hugo speaks with Peter Wang, CEO of Anaconda, about how Python became so big in data science, machine learning, and AI. They jump into many of the technical and sociological beginnings of Python being used for data science, a history of PyData, the conda distribution, and NUMFOCUS. They also talk about the emergence of online collaborative environm…

1
Episode 6: Bullshit Jobs in Data Science (and what to do about them) 1:27:01

2+ y ago1:27:01

1:27:01

Hugo speaks with Jacqueline Nolis, Chief Product Officer at Saturn Cloud (formerly Head of Data Science), about all types of failure modes in data science, ML, and AI, and they delve into bullshit jobs in data science (yes, that’s a technical term, as you’ll find out) –they discuss the elements that are bullshit, the elements that aren’t, and how t…

1
Episode 5: Executive Data Science 1:48:14

2+ y ago1:48:14

1:48:14

Hugo speaks with Jim Savage, the Director of Data Science at Schmidt Futures, about the need for data science in executive training and decision, what data scientists can learn from economists, the perils of "data for good", and why you should always be integrating your loss function over your posterior. Jim and Hugo talk about what data science is…

1
Episode 4: Machine Learning at T-Mobile 1:44:10

2+ y ago1:44:10

1:44:10

Hugo speaks with Heather Nolis, Principal Machine Learning engineer at T-mobile, about what data science, machine learning, and AI look like at T-mobile, along with Heather’s path from a software development intern there to principal ML engineer running a team of 15. They talk about: how to build a DS culture from scratch and what executive-level s…

1
Episode 3: Language Tech For All 1:32:33

2+ y ago1:32:33

1:32:33

Rachael Tatman is a senior developer advocate for Rasa, where she’s helping developers build and deploy ML chatbots using their open source framework. Rachael has a PhD in Linguistics from the University of Washington where her research was on computational sociolinguistics, or how our social identity affects the way we use language in computationa…

1
Episode 2: Making Data Science Uncool Again 1:45:45

2+ y ago1:45:45

1:45:45

Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, the chair of WAMRI, and is Chief Scientist at platform.ai. In this…

1
Episode 1: Introducing Vanishing Gradients 5:29

2+ y ago5:29

5:29

In this brief introduction, Hugo introduces the rationale behind launching a new data science podcast and gets excited about his upcoming guests: Jeremy Howard, Rachael Tatman, and Heather Nolis! Original music, bleeps, and blops by local Sydney legend PlaneFace!By Hugo Bowne-Anderson

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Leveraging AI to tackle large problems & being an Optimistic Futurist feat. Kate O'Neill 16:43

4y ago16:43

16:43

In this episode of IBM thinkLeaders podcast, we are joined by guest Kate O'Neill (author of Tech Humanist: How You Can Make Technology Better for Business and Better for Humans) to discuss how we can leverage AI for good, the need for a transdisciplinary approach to AI, and what it means to be an Optimistic Futurist. Kate talks about her own career…

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Capturing important insights in NLP w/ Watson Discovery’s Phil Anderson 15:34

4y ago15:34

15:34

How can we tap into the value of human communication? What are the insights we can glean using natural language processing (NLP)? How can NLP capture sentiment and tone?In this episode of IBM thinkLeaders podcast, we are joined by guest Phil Anderson (Senior Offering Manager for the Watson Discovery Service) to learn about Watson Discovery and how …

1
Can we teach algorithms to understand human emotions? Convo w/ Evermind’s Ivy Mahsciao 20:44

4y ago20:44

20:44

Can we teach algorithms to understand human emotions? Are humans okay with being vulnerable toward an AI agent? How can biofeedback help us to be caring, empathetic, and aware individuals?In this episode of IBM thinkLeaders podcast, we are joined by guest Ivy Mahsciao (founder & CPO at Evermind AI) to discuss whether AI has the potential to make us…

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AI literacy & promoting AI for good w/ Karen Bhatia 18:24

4+ y ago18:24

18:24

What are the ways that AI can be leveraged for good? How can we increase AI and digital literacies? What are some ways we can expand AI for everyone?In this episode of IBM thinkLeaders podcast, we are joined by guest Karen Bhatia (Senior Vice President at the New York City Economic Development Corporation) to discuss how we can expand access to dig…

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Promoting AI literacy w/ Hugo Bowne-Anderson of DataCamp 14:23

4+ y ago14:23

14:23

How can we better promote AI literacy? What skills are commonly lacking in organizations? Are new people entering the field considering bias in AI?In this episode of IBM thinkLeaders podcast, we are joined by guest Hugo Bowne-Anderson (Data Scientist at DataCamp) to discuss how we can better promote AI and digital skills. We talk to Hugo about the …