This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.Additional materials: www.superdatascience.com/722Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Quantum computing vs classical computing [03:42]• What is quantum entanglement [11:45]• What is a qubit [15:07]• The best problems for quantum ML [30:08]• Three distinct steps in quantum ML and its potential [39:06]• Quantum neural networks [49:03]• What Amira's working on at the moment [1:10:20]• How to get started in quantum ML [1:21:06]• Amira's recommended ML tools for quantum computing [1:30:39]Additional materials: www.superdatascience.com/721

DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.Additional materials: www.superdatascience.com/720Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About computational mathematics and its relation to data science [03:19]• Margot’s current research into emissions simulation [15:05]• Computational Mathematics: Real-World Applications [33:18]• The importance of wind tunnels in testing designs [47:54]• The beauty of linear algebra [1:05:59]• Synesthesia: Seeing Numbers as Colors [1:16:33]• About Women in Data Science [1:24:59]Additional materials: www.superdatascience.com/719

Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.Additional materials: www.superdatascience.com/718Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]• How Dan uses LLMs at Abnormal Security [15:46]• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]• How head-to-head competitor analysis helps refine models [34:34]• Resilient ML in cybersecurity [38:36]• Abnormal Security’s routine for updating their models [52:37]• AI's impact on the urban world [1:09:57]• How to stay updated in data science and AI [1:13:46]Additional materials: www.superdatascience.com/717

Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.Additional materials: www.superdatascience.com/716Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.This episode is brought to you by the Zerve data science dev environment, by  Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why interpreting data is not always easy [06:21]• What is Survival Analysis [15:32]• Preston's Paradox [22:09]• Are you Normal? [36:52]• How to better prepare for rare “Black Swan” events [42:48]• What is an Overton Window? [53:06]• What is the base rate fallacy? [1:23:31]• How to protect yourself from biased samples [1:33:39]• Simpson’s Paradox [1:42:43]Additional materials: www.superdatascience.com/715

In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.Additional materials: www.superdatascience.com/714Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]• Responsible use of Llama 2 [15:26]• Toolformer: LLM That Learns How to Use External Tools [24:57]• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]• Is AGI Around the Corner? [57:03]• Advice for AI entrepreneurs [1:05:46]• How Thomas develops and manages large-scale AI projects [1:14:42]Additional materials: www.superdatascience.com/713