Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms.

In this episode you will learn:
• Horace’s life and work in New York City [5:00]
• Syntheia and Horace’s role there [6:25]
• Horace’s background [12:07]
• Nearmap [16:35]
• Syntheia NLP use cases [21:46]
• Design, coding, and the team [34:19]
• What skills does one need for this field? [41:41]
• What would Horace do differently and what is he excited for? [46:15]

Additional materials: www.superdatascience.com/455

The SuperDataScience Podcast: Machine Learning | AI | Success

SDS 455: Legal Tech, Powered by Machine Learning

In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach.

Additional materials: www.superdatascience.com/466

SDS 466: Good vs. Great Data Scientists

In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data.

In this episode you will learn:
• What the Harvard Data Science Review is and why Xiao-Li founded it [5:31]
• The difference between data science and statistics [17:56]
• The concept of 'data minding' [22:27]
• The concept of 'data confession' [30:31]
• Why there’s no “free lunch” with data, and the tricky trade-offs that abound [35:20]
• The surprising paradoxical downside of having lots of data [43:23]
• What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47]

Additional materials: www.superdatascience.com/581

The Super Data Science Podcast: Machine Learning | AI | Success

SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science

In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.

In this episode you will learn:
• The evolution of NLP techniques over the past decade [4:14]
• What's next in the coming iron age of NLP [35:33]
• Rongyao’s Bauhaus-inspired model for effective data science [43:12]
• Rongyao's long-term career pathfinding framework [51:50]
• Rongyao’s top tips for staying sane while juggling career and family [1:00:30]

Additional materials: www.superdatascience.com/583

SDS 583: The State of Natural Language Processing

In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh.

Additional materials: www.superdatascience.com/588

SDS 588: Artificial General Intelligence is Not Nigh

On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.

Additional materials: www.superdatascience.com/628

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

628: The Critical Human Element of Successful A.I. Deployments

The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.

This episode is brought to you by Kolena (https://kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• A recap of 2022 predictions [5:22]
• Our data science trend predictions for 2023: 
  - Data as a product [23:36]
  - Multimodal A.I. models [32:26]
  - The data mesh [42:49]
  - Privacy & AI Trust [50:54]
  - Environmental Sustainability [54:37]
• Sadie's goals for 2023 [1:16:04]

Additional materials: www.superdatascience.com/641

641: Data Science Trends for 2023

SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.

Additional materials: www.superdatascience.com/650

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy

Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!

This episode is brought to you by Pathway, the reactive data processing framework (https://www.pathway.com/?from=superdatascience), and by epic LinkedIn Learning instructor Keith McCormick(linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why Chip wrote 'Designing Machine Learning Systems' [08:58]
• How Chip ended up teaching at Stanford [13:18]
• About Chip's book 'Designing Machine Learning Systems' [21:12]
• What makes ML feel like magic [30:53]
• How to align business intent, context, and metrics with ML [37:55]
• The lessons Chip learned about training data [42:03]
• Chip's secrets to engineering good features [53:19]
• How Chip optimizes her productivity [1:07:48]

Additional materials: www.superdatascience.com/661

661: Designing Machine Learning Systems

Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!

This episode is brought to you by Pathway, the reactive data processing framework (pathway.com/?from=superdatascience), by Posit, the open-source data science company (posit.co), and by Anaconda, the world's most popular Python distribution (superdatascience.com/anaconda). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Matt's book ‘Effective XGBoost’ [07:05]
• What is XGBoost [09:09]
• XGBoost's key model hyperparameters [19:01]
• XGBoost's secret sauce [29:57]
• When to use XGBoost [34:45]
• When not to use XGBoost [41:42]
• Matt’s recommended Python libraries [47:36]
• Matt's production tips [57:57]

Additional materials: www.superdatascience.com/681

681: XGBoost: The Ultimate Classifier, with Matt Harrison

AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), the AWS Insiders Podcast (https://pod.link/1608453414), and by Modelbit (https://modelbit.com), 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:
• Decentralized and benevolent AGI [03:13]
• The SingularityNET ecosystem [13:10]
• Dr. Goertzel's vision for realizing AGI - combining DL with neuro-symbolic systems, genetic algorithms and knowledge graphs [25:50]
• How reaching AGI will trigger Artificial Super Intelligence [38:51]
• Dr. Goertzel's approach to AGI using OpenCog Hyperon [42:34]
• Why Dr. Goertzel believes AGI will be positive for humankind [53:07]
• How to ensure the AGI is benevolent [1:06:43]
• How AGI or ASI may act ethically [1:13:50]

Additional materials: www.superdatascience.com/697

697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel

Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and by Modelbit (https://modelbit.com), 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:
• What is precision agriculture? [09:43]
• What is computational agronomy? [12:30]
• How Syngenta helps growers optimize yields [21:37]
• How to bridge the gap between R&D and out in the real world [33:58]
• What is generative chemistry? [37:52]
• How generative chemistry accelerates the discovery of new compounds [41:55]
• How you could make a big social impact in agriculture with data science [56:22]
• How to go about designing ML models for agriculture [1:00:27]

Additional materials: www.superdatascience.com/705

705: Feeding the World with ML-Powered Precision Agriculture

LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.

This episode is brought to you by the AWS Insiders Podcast (https://pod.link/1608453414), by Modelbit (https://modelbit.com), for deploying models in seconds, and by Grafbase (https://grafbase.com), the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Vicuña: How the revolutionary LLM came to be [03:35]
• Chatbot Arena: The leading LLM leaderboard [09:47]
• Trusting LLM results [17:54]
• Gorilla: The open-source ChatGPT plugin alternative [32:13]
• About LMSYS and long context windows [47:48]
• Open- vs closed-source LLMs: Which is better? [1:01:39]
• Aqueduct [1:16:49]
• Founding GraphLab [1:27:02]
• How AI will positively impact society in the coming decades [1:33:23]

Additional materials: www.superdatascience.com/707

707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez

In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.

This episode is brought to you by the Zerve data science dev environment (https://zerve.ai), by Grafbase (https://grafbase.com), the unified data layer, and by Modelbit (https://modelbit.com), 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:
• About Genmo.ai and the term “creative general intelligence” [03:47]
• Why Ajay started Genmo.ai [09:26]
• The increased performance of multimodal models [21:12]
• All about Denoising Diffusion Probabilistic Models (DDPMs) [31:03]
• The application of Neural Radiance Fields (NeRF) [55:26]
• Predicting pedestrian behavior at Uber [1:01:50]
• How to save money in the process of training models [1:12:42]

Additional materials: www.superdatascience.com/711

711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain

Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.

This episode is brought to you by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How DeepMind seeks to ‘solve intelligence’ [05:14]
• The impact of AGI’s capabilities on medicine [16:37]
• How the general public might come to apply future AI systems [28:09]
• How working on product development for Africa has shaped Mehdi’s perspective on AI’s potential and challenges [37:17]
• How to stay on top of rapid changes in AI [39:17]
• What investors look for in AI startups [59:16]
• Tips for product managers [1:03:34]

Additional materials: www.superdatascience.com/735

735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi

Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.

This episode is brought to you by Intel and HPE Ezmeral Software Solutions (https://hpe.com/ezmeral/chatwithyourdata), and by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Supply and demand in AI recruitment [08:30]
• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers & GPT A-Z” [15:37]
• The learning difficulty in understanding LLMs [19:46]
• The basics of LLMs [22:00]
• The five building blocks of transformer architecture [36:29]
- 1: Input embedding [44:10]
- 2: Positional encoding [50:46]
- 3: Attention mechanism [54:04]
- 4: Feedforward neural network [1:16:17]
- 5: Linear transformation and softmax [1:19:16]
• Inference vs training time [1:29:12]
• Why transformers are so powerful [1:49:22]

Additional materials: www.superdatascience.com/747

747: Technical Intro to Transformers and LLMs, with Kirill Eremenko

Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.

This episode is brought to you by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How to become a confident communicator [11:59]
• How to get rid of filler words [26:32]
• How facts alone can't make a strong impact [41:44]
• Cole's overview of her book Storytelling with You [55:19]
• How to craft an effective presentation [1:00:24]
• Common mistakes in virtual presentations [1:09:48]
• Cole's virtual presentation setup [1:15:33]
• Cole's next book Daphne Draws Data [1:20:23]

Additional materials: www.superdatascience.com/757

757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic

Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/), and by Intel and HPE Ezmeral Software Solutions (https://hpe.com/ezmeral/chatbots). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Google’s Gemini model family and Lisa's key responsibilities [04:55]
• How LLMs will transform the practice of Data Science [19:47]
• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]
• How to fine-tune Gemini models with Google's Vertex AI [30:52]
• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]
• The challenges of developing a data-centric culture [57:31]
• Centralized vs decentralized data science teams [1:03:50]

Additional materials: www.superdatascience.com/761

761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen

At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.

This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Potential interest areas for Series A AI venture capitalists [12:22]
• How Glasswing’s AI Palette helps AI startups [23:06]
• How data driven the venture capital industry is [27:21]
• Advice for adopting services from AI providers [47:21]
• Model collapse: Causes and concerns [58:44]
• Glasswing’s checklist for AI startups [1:04:59]

Additional materials: www.superdatascience.com/763

763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri

Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.

Additional materials: www.superdatascience.com/764

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

764: The Top 10 Episodes of 2023

Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.

This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com), and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Travis's journey to creating NumPy and SciPy [08:05]
• How Anaconda got started [42:24]
• How Numba, a high-performance Python compiler, was brought to market [54:48]
• Python's influence on the thought processes of scientists and engineers [1:04:21]
• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]
• How to get involved in Travis's commercial projects and communities [1:22:34]
• The future of scientific computing and Python libraries [1:29:50]

Additional materials: www.superdatascience.com/765

765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant

Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.

This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• All about Machine Learning Q and AI [04:13]
• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]
• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]
• Large language models: Opportunities and challenges [43:35]
• DoRA vs LoRA [48:56]
• How to be a successful AI educator [1:34:18]

Additional materials: www.superdatascience.com/767

767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka

Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.

This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The inspiration for Zack to get started in ML and healthcare [03:56]
• The hardware required to use Abridge [12:29]
• The key data science projects at Abridge right now [35:05]
• Abridge's tech stack [59:54]
• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]
• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]
• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]

Additional materials: www.superdatascience.com/769

769: Generative AI for Medicine, with Prof. Zack Lipton

Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.

This episode is brought to you by Intel and HPE Ezmeral Software (https://bit.ly/hpeintel). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Generative AI will transform industries [03:55]
• The evolution of Generative AI [10:19]
• How will Generative AI impact daily life [16:52]
• The ethical challenges of AI [18:55]
• How corporations can harness Generative AI for collaboration [24:36]
• Industries that will be impacted by Generative AI [32:20]
• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]
• How Generative AI could unlock 99% of business data [53:34]

Additional materials: www.superdatascience.com/777

777: Generative AI in Practice, with Bernard Marr

Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.

This episode is brought to you by Intel and HPE Ezmeral Software (https://bit.ly/hpeintel). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• All about the Tidyverse [04:46]
• Hadley’s favorite R libraries [17:10]
• The goal of Posit [30:29]
• On bringing multiple programming languages together [36:02]
• The principles for a long-lasting tech company [52:10]
• How Hadley developed ggplot2 [55:24]
• How to contribute to the open-source community [1:05:43]

Additional materials: www.superdatascience.com/779

779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham

Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting.


Additional materials: www.superdatascience.com/782

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

782: In Case You Missed It in April 2024

Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.

This episode is brought to you by Crawlbase (https://crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Enhancing predictability in wind energy with ML [04:52]
• Data utilization from wind turbines by energy providers [11:41]
• Jason's journey into wind energy [17:55]
• Landing the right startup idea [22:47]
• Visualizing neural networks with the Deep Vis Toolbox [31:29]
• Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]
• Discoveries from Loss Change Allocation research [47:48]
• Engaging with Jason's ML Collective [59:46]
• Traits of successful AI entrepreneurs [1:10:26]

Additional materials: www.superdatascience.com/789

789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski

Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0), by Crawlbase (crawlbase.com), the ultimate data crawling platform, and by Babbel (https://www.babbel.com/superdata), the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What “responsible AI” means [08:14]
• Why the federal government should be behind AI regulation [12:22]
• The US vs EU on AI regulation [18:46]
• About the AI Bill of Rights [26:14]
• About MITRE and the MITRE Atlas [37:19]
• What a systems engineer does [54:11]

Additional materials: www.superdatascience.com/795

795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph

Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.

Additional materials: www.superdatascience.com/816

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

816: Explaining AGI to a 94-Year-Old

Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists/), the Decision Intelligence Leader, and by ODSC (https://odsc.com/california), 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:
• Overview of Posit and Positron IDE [05:20]
• How the needs of a data scientist differ from those of a software developer [10:54]
• How to contribute to the open-source Positron [19:50]
• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]
• Natural Language Processing (NLP) and the Tidyverse approach [50:34]
• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817

817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.

Additional materials: www.superdatascience.com/818

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

818: In Case You Missed It in August 2024

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819

819: PyTorch: From Zero to Hero, with Luka Anicin

Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.

Additional materials: www.superdatascience.com/820

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

820: OpenAI's o1 "Strawberry" Models

Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.

This episode is brought to you by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Marck started his work in defining data science roles [08:06]
• The relationship between the four data practitioner personas [15:26]
• About Marck’s “menu” for effective data science [40:43]
• How recruiters can hire the best data scientist for the job [59:31]

Additional materials: www.superdatascience.com/821

821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman

NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.

Additional materials: www.superdatascience.com/822

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents

Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (https://www.linkedin.com/learning/instructors/keith-mccormick), by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists/), the Decision Intelligence Leader, and by ODSC (https://odsc.com/california), 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:
• How do you create a virtual being? [10:55]
• Reid Hoffman's avatar [13:40]
• The virtual human economy [31:07]
• Virtual human societies [51:24]
• Virtual humans and creative expression [56:35]
• Challenges in maintaining transparency [01:00:22]

Additional materials: www.superdatascience.com/823

823: Virtual Humans and AI Clones, with Natalie Monbiot

Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.

Additional materials: www.superdatascience.com/824

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

824: Llama 3.2: Open-Source Edge and Multimodal LLMs

The Super Data Science Podcast has moved! But, have no fear: We’re still publishing new episodes every single Tuesday and Friday.

You’ll find “The Super Data Science: ML & AI Podcast with Jon Krohn” via any major podcast-streaming app. Or if you like to watch podcasts, you can subscribe to our YouTube channel, where we have a special video version of the show: https://www.youtube.com/@SuperDataScienceWithJonKrohn

If you’d simply like to listen to the show on the web — while also getting convenient access to the episode transcript, show notes and other useful resources — you can point your browser to https://superdatascience.com/podcast. 

Thanks again for all of your support for the SuperDataScience Podcast over the years! We’re so grateful to have you listening and I can’t wait for you to subscribe and tune in.

Super Data Science Podcast Update

In what situations do you have your best idea?

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/66

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 066: The Best Ideas

In this episode, I share a series of great tips, plus a bonus tip for getting your application further along in the hiring process and getting the job.

Additional materials: www.superdatascience.com/396

SDS 396: Five Job Hunting Tips

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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