Jon Krohn’s Post

I just finished reading "Everything Is Predictable: How Bayesian Statistics Explain Our World" by Tom Chivers. If you are interested in #machinelearning, I highly recommend adding this to your library. Bayesian techniques are used in machine learning for classification and regression problems, particularly in the development of spam filters, recommendation systems, and in Bayesian networks for probabilistic inference. While you are at it, also check out Chris Voss's podcast on the subject (links in comments).

📣🎙️New Episode Released - The Python People Podcast🎙️📣 Join me this week as I speak with Giancarlo Cobino , a highly experience Engineering and AI Leader. This week, we discuss many interesting topics such as drift theory in machine learning models, and how to recognise and rectify it. As well as discussing Giancarlo's experiences managing heterogeneous Data Science and Machine Learning teams. Links to the full video 📺 and audio 🎧 episodes below in comments ⬇️ ⬇️ ⬇️ #community #dataleaders #podcast #TrueNorth

In July, we had a yet another bevy of extraordinary guests on the SuperDataScience Podcast I host. ICYMI, today's episode highlights the most fascinating moments from my convos with them. Specifically, conversation highlights include: 1. Iconic Daliana Liu (ex-AWS Senior Data Scientist; host of The Data Scientist Show) on the hard skills data scientists need most in today's market. 2. Pulitzer prize-winning journalist and many-time NY Times bestselling author Charles Duhigg on the secrets to being a "Supercommunicator", i.e., getting people invested in your ideas and opening up. 3. Arcee.ai's CEO Mark McQuade and Chief of Frontier Research Charles Goddard detail the frontier "model merging" technique whereby the capabilities of multiple LLMs can be combined without increasing model size. 4. Prolific Google DeepMind researcher Dr. Rosanne Liu (no relation to Daliana!) on her landmark “Beyond the Imitation Game" paper, particularly why all LLM benchmarks are flawed. 5. Andrey Kurenkov, PhD (A.I. Engineering Lead at Astrocade and founder/co-host of my favorite podcast, "Last Week in A.I.") on how Artificial Superintelligence (ASI) may be just a few years and what the implications could be for us as individuals as well as as a society. Check out today's episode (#808) to hear all these eye-opening conversations. The "Super Data Science Podcast with Jon Krohn" is available on all major podcasting platforms and a video version is on YouTube. #superdatascience #datascience #machinelearning #ai #podcast

Super excited to see the Learning Bayesian Statistics podcast get a shoutout on Andrew Gelman’s blog! 🙌 Big thanks to Bob Carpenter for mentioning us in his post about defining statistical models in JAX. It’s awesome to be part of the conversation around Bayesian stats and modern tools. Definitely worth checking out! Here’s the link 👉 https://lnkd.in/gdm9xuWu #LearningBayesianStatistics #BayesianStats

Recently, we had the incredible opportunity to sit down with Bruno Vieira Costa, the visionary behind Abstra, for an in-depth podcast interview. Our discussion unveiled how Abstra is leveraging AI and Python to radically transform business automation. Bruno shared fascinating insights into the genesis and growth of Abstra, emphasizing how even those with a foundational understanding of Python can harness the platform to innovate and optimize business processes. Explore our detailed post to discover more about Abstra's transformative impact on the industry and its significant strides in making automation accessible to a wider audience. Watch the full episode here - https://lnkd.in/gWvjgatT #Abstra #TechLeadership #StartupPodcast #BusinessAutomation #TheNewzchainPodcast

📣🎙️New Episode Release - The Python People Podcast🎙️📣 This week, I am joined by Tadej Magajnai, a renowned Machine Learning and AI Author as well as Global Associate Director, Analytics, Data Science & AI. In this episode, we discuss his journey throughout tech and into leadership, along with his experiences being part of an early stage tech start-up. Full links to the video 📺 and audio 🎧 episodes below in comments ⬇️ ⬇️ ⬇️ #podcast #datascience #machinelearning #AI

If you really want to understand the limitations of the current LLMs and why they can never be the path towards AGI (or any form of intelligence beyond what we have right now), I recommend this podcast with Francois Chollet. This is the person who wrote the most popular book on Deep Learning that almost every engineer in the idustry starts with, so really top credentials. It is not a technical talk so great for anyone. https://lnkd.in/dHhSSF-a

🎧 Dive into our latest episode of Phoenix Talk, where we explore planetary data science, tech innovation, and mythology! 💥 Join us as we uncover how AI and breakthrough technologies are transforming the future, and delve into intriguing mythological stories that shape our understanding. Whether you're a tech enthusiast, data science aficionado, or mythology buff, this episode is packed with insights you can't miss! 💡🔥 🎙️ Tune in and stay ahead of the curve! 💪 #PhoenixTalk #DataScience #TechInnovation #AI #Mythology #podcast

Fun chat and important topic! I enjoyed talking with Eric Siegel and Michael Albert about the challenges business and data science leaders have in bridging the gap between their perspectives. Overcoming them is the key in any organization to unlocking the value that AIML can create. Leaders who excel at the intersection of business and data science are rare and valuable, and incredibly in demand! UVA School of Data Science University of Virginia Darden School of Business #analyticalleadership

The latest episode of the AI Engineering Podcast is available now! Episode 35 is ready to listen to and share with all of your friends and colleagues.