Data Science Rabbit Podcast – Détails, épisodes et analyse

Join host Michael Bagalman on the Data Science Rabbit Podcast as he recounts a recent data blunder involving premature KPI celebrations, highlighting the importance of humility and scrutiny in data analysis. Special guest Cornelius P. Snarkington dives into the dark art of p-hacking, exposing its threat to data integrity. Through witty banter and insightful commentary, this episode explores the ethics of AI, the pitfalls of p-hacking, and lessons from the classic Doctor Who episode "Robots of Death." Tune in for a mix of humor, wisdom, and practical advice on navigating the data science landscape.

In this episode of the Data Science Rabbit Podcast, host Michael Bagalman tackles the art of impactful data presentations for executives. Clarissa Snarkington shares three game-changing Excel tips to boost productivity, while Chad Snarkington introduces pandas profiling for efficient data exploration in Python. Join us for practical insights, witty banter, and data science tips you can apply immediately. Whether you're a seasoned data scientist or just starting out, this episode offers valuable tricks to level up your data game.

Welcome to the Data Science Rabbit Podcast, where we dive deep into the mysteries of data science and emerge with newfound knowledge. Join your host Michael Bagalman as we embark on an enlightening journey through the history of the arithmetic mean.

From the insights of ancient Greek philosophers to the mathematical prowess of Indian kings, we'll unravel the historical threads that led to the development of this fundamental statistical tool. Along the way, we'll encounter pivotal figures like Jacob Kobel and Karl Friedrich Gauss, who helped refine our understanding of the mean and its applications.

We'll also delve into the debates surrounding the use of the mean, from Daniel Bernoulli's skepticism to William Stanley Jevons's groundbreaking insights into the nature of measurement and error.

Whether you're a seasoned data scientist or a curious listener eager to learn more about the history of mathematics, join us as we uncover the hidden depths of the arithmetic mean. Subscribe now to the Data Science Rabbit Podcast and join us on this captivating exploration into the heart of statistical reasoning.

Hop down the rabbit hole with your host Michael Bagalman and uncover the tangled roots from whence data science grew!

Journey back to the 60s statistics split that led pioneers like John Tukey to carve an applied path different from the mathematical ivory tower. Learn how the modern phrase "data science" first percolated abroad before reaching American shores. Trace tensions between data modeling and algorithmic camps, with outspoken statisticians like Leo Breiman calling for a paradigm shift. Follow data science’s emergence in tech titans like Google and explosive growth after the famed Netflix competition.

Despite current domination by computer scientists, see openings for statisticians and domain experts to yet claim a seat at the table in this ever-evolving field that extracts practical value from the exponential explosion of data.

Dive into the whimsical world of data science with the Data Science Rabbit Podcast! Host Michael Bagalman guides you through a wonderland of algorithms, ethics, and unexpected insights. From ancient wisdom to cutting-edge AI, we explore it all with wit and wisdom. Join special guests like Cornelius P. Snarkington for a fresh take on the field. Whether you're a seasoned pro or just curious, there's something here for everyone. Subscribe now and tumble down the rabbit hole with us – where data meets humor and learning is an adventure!

Welcome to the Data Science Rabbit Podcast, the official podcast of the Data Science Rabbit Hole, hosted by Michael Bagalman. Join us as we dive headfirst into the whimsical world of data science, exploring both the complexities and simplicities of the field with humor and insight. In each episode, we tackle topics ranging from the KISS principle to historical data analysis, featuring special guests like Cornelius P. Snarkington. Whether you're a seasoned pro or a curious newbie, strap on your bunny ears and get ready to fall down the rabbit hole with us. Embrace your inner outlier and discover the magic behind every great algorithm!

Dive into the Data Science Rabbit Podcast, the official show of the Data Science Rabbit Hole, hosted by Michael Bagalman. Join us as we blend ancient Jewish wisdom with data science insights, explore mind-bending metaphors, and tackle digital security myths. In this episode, we uncover lessons from Pirkei Avot, challenge password security norms, and dissect the art of designing AI icons. Whether you're a Pythonista or a data skeptic, there's something here to pique your curiosity and make you laugh. Tune in and keep your code clean and your ethics cleaner!

Join host Michael Bagalman on the Data Science Rabbit Podcast for a witty dive into the world of data science. This episode explores teaching marketers data science vs. improving data scientists' communication skills, offers a practical checklist (from none other than the data scientist nonpareil, Cornelius P. Snarkington) for ethical predictive modeling, and features a "comedy" bit about being a seasoned data scientist. Expect sharp insights, edgy humor, and relatable stories from the data trenches.

Welcome to another insightful episode of the Data Science Rabbit Podcast, the official podcast of the Data Science Rabbit Hole, hosted by Michael Bagalman. Today, we dive deep into the intriguing data science behind human body temperature. Join us as we debunk the long-held belief that 98.6°F is the "normal" body temperature and explore how modern technology and data science are reshaping our understanding of health.

We'll also share a humorous yet insightful sponsor message about P-Values, discuss the importance of deep understanding and clear communication in the digital age, and let the data scientist nonpareil, Cornelius P. Snarkington, reflect on a wise quote from Doctor Who about the dangers of altering facts to fit views.

Whether you're a data science enthusiast or simply curious about how data can improve our health, this episode is for you. Tune in and join us as we fall down the rabbit hole into the fascinating world of data science and human body temperature!

Join host Michael Bagalman as he dives down the Data Science Rabbit Hole to explore the latest developments in training large language models. In this episode, we discuss a recent paper from Meta and NYU that proposes letting AI models sculpt themselves through self-rewarding learning, rather than relying solely on human feedback. We ponder the implications of AI systems becoming their own harshest critics and the balance between human creation and potential hubris.

The episode also features tips on making data visualization more engaging by providing context relevant to your audience and using interactive dashboards. Finally, we close with a lighthearted AI-themed graduation speech I wrote last year, inspired by Mary Schmich's famous essay that is commonly referred to as "Wear Sunscreen".

Tune in for thought-provoking insights on the future of AI!