2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science.

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

In this episode you will learn:
• Reviewing predictions for 2023 [05:56]
• Sadie's trend predictions for 2024 [20:49]
- 1: Hardware evolution [21:17]
- 2: LLMOS [35:30]
- 3: Slow-thinking model [48:18]
- 4: Tool consolidation [54:46]
- 5: Workforce Upheaval [58:06]
• Jon's predictions [1:06:26]
- 1: AI bubble bursting [1:08:11]
- 2: Breakthroughs in Edge AI [1:12:22]
• Sadie on her productivity planner [1:17:50]

Additional materials: www.superdatascience.com/745

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

745: 2024 Data Science Trend Predictions

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? Visit https://passionfroot.me/superdatascience 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

Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.

Additional materials: www.superdatascience.com/748

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

748: The Five Levels of AGI

Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.

This episode is brought to you by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Emily on her Master's in Deep Learning [08:20]
• Using AI to solve clean energy challenges at Palmetto [17:22]
• The different roles needed to solve cleantech problems [27:33]
• How econometrics impacts consumer decision-making [38:56]
• How Emily manages high-performing teams [56:30]
• The tools and technologies that drive small teams [1:06:58]

Additional materials: www.superdatascience.com/749

749: Data Science for Clean Energy, with Emily Pastewka

Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.

Additional materials: www.superdatascience.com/750

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

750: How A.I. is Transforming Science

Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.

This episode is brought to you by Oracle NetSuite business software (netsuite.com/superdata), by QuickChat customized AI assistants (https://quickchat.ai), and by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How Merantix started [05:17]
• How does Merantix work and how to apply for funding [08:19]
• How to secure AI funding [21:02]
• How AI companies can prove competitiveness [33:46]
• Ensuring AI regulation [41:17]
• How AI will change the future of work [56:56]

Additional materials: www.superdatascience.com/751

751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe

Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.

Additional materials: www.superdatascience.com/752

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

752: AI is Disadvantaging Job Applicants, But You Can Fight Back

Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session.

This episode is brought to you by Oracle NetSuite business software (https://netsuite.com/superdata), and by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Why Zerve IDE is so sorely needed [04:50]
• Pypelines: AutoML open-source in python [30:00]
• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]
• How AutoML will impact the role of the data scientist [53:21]
• Greg's background as a pastor and working at DataRobot [1:03:40]
• How to develop impressive communication and storytelling skills [1:16:16]

Additional materials: www.superdatascience.com/753

753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson

Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.

Additional materials: www.superdatascience.com/754

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

754: A Code-Specialized LLM Will Realize AGI, with Jason Warner

ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.

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

In this episode you will learn:
• About Species X [06:31]
• How to become a certified beer taster [12:37]
• How Beau checks the quality of his beer [25:01]
• Beau and Jon’s machine learning project [38:02]
• About genetic algorithms [52:35]  
• How to get creativity out of LLMs [1:24:46]

Additional materials: www.superdatascience.com/755

755: Brewing Beer with A.I., with Beau Warren

AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.

Additional materials: www.superdatascience.com/756

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

756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds

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? Visit passionfroot.me/superdatascience 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

Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.

Additional materials: www.superdatascience.com/758

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

758: The Mamba Architecture: Superior to Transformers in LLMs

Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/), by Oracle NetSuite business software (netsuite.com/superdata), and by Intel and HPE Ezmeral Software Solutions (http://hpe.com/ezmeral/chatbots). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How decoder-only transformers work [15:51]
• How cross-attention works in transformers [41:05]
• How encoders and decoders work together (an example) [52:46]
• How encoder-only architectures excel at understanding natural language [1:20:34]
• The importance of masking during self-attention [1:27:08]

Additional materials: www.superdatascience.com/759

759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko

AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.

Additional materials: www.superdatascience.com/760

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

760: Humans Love A.I.-Crafted Beer

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? Visit passionfroot.me/superdatascience 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

Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.

Additional materials: www.superdatascience.com/762

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

762: Gemini 1.5 Pro, the Million-Token-Context LLM

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? Visit https://passionfroot.me/superdatascience 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? Visit passionfroot.me/superdatascience 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

Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.

Additional materials: www.superdatascience.com/766

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

766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution

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? Visit passionfroot.me/superdatascience 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

Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest).  Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.

Additional materials: www.superdatascience.com/768

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

768: Is Claude 3 Better than GPT-4?

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? Visit passionfroot.me/superdatascience 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

Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.

Additional materials: www.superdatascience.com/770

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

770: The Neuroscientific Guide to Confidence

Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• All about decision trees [09:28]
• All about ensemble models [22:03]
• All about AdaBoost [38:46]
• All about gradient boosting [46:51]
• Gradient boosting for classification problems [1:01:26]
• All about XGBoost, LightGBM and CatBoost [1:04:12]

Additional materials: www.superdatascience.com/771

771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko

Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!

Additional materials: www.superdatascience.com/772

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

772: In Case You Missed It in March 2024

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Barrett's start in operations logistics [02:27]
• Concorde Solver and the traveling salesperson problem [09:59]
• Cross-function approximation explained [19:13]
• How Markov decision processes relate to deep reinforcement learning [26:08]
• Understanding policy in decision-making contexts [33:40]
• Revolutionizing supply chains and transportation with aerial drones [46:47]
• Barrett’s career evolution: past changes and future prospects [52:19]

Additional materials: www.superdatascience.com/773

773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas

Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.

Additional materials: www.superdatascience.com/774

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

774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities

Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How to motivate yourself to become a tech entrepreneur [17:02]
• Aleksa’s checklist for the perfect CTO [35:00]
• Potential sustainable solutions for LLMs [41:51]
• The next major developments in AI and tech [48:29]
• How hobbies have a knock-on effect for a person’s career [1:01:53]
• How and why formal education needs to change [1:09:24]

Additional materials: www.superdatascience.com/775

775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić

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.

Popular tracks by Super Data Science: ML & AI Podcast with Jon Krohn