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Super Data Science: ML & AI Podcast with Jon Krohn

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.

Copyright: © 2024 Super Data Science: ML & AI Podcast with Jon Krohn

Latest Episodes:

676: The Chinchilla Scaling Laws May 05, 2023

Show notes

Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.
Additional materials: www.superdatascience.com/676
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

675: Pandas for Data Analysis and Visualization May 02, 2023

Show notes

Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The advantages of using pandas over other libraries [07:55]
• Why data wrangling in pandas is so helpful [12:05]
• Stefanie’s Data Morph library [24:27]
• When to use pandas, matplotlib, or seaborn [33:45]
• Understanding the ticker module in matplotlib [36:48]
• Where data analysts should start their learning journey [40:08]
• What it’s like being a software engineer at Bloomberg [51:19]

Additional materials: www.superdatascience.com/675

674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation) Apr 28, 2023

Show notes

Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).
Additional materials: www.superdatascience.com/674
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

673: Taipy, the open-source Python application builder Apr 25, 2023

Show notes

Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.

This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The Taipy library functionality [2:59]
• The future of data pipelines [21:40]
• Common trends of companies that are successful at adopting data pipelines [28:31]
• How no-code and low-code trends impact the data science lifecycle [33:00]
• How Vincent chose the programming languages that underpin Taipy [41:40]
• Common trends on how companies manage their data to learn from it [45:06]
• Vincent's perspective on AI winters [51:03]

Additional materials: www.superdatascience.com/673

672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0 Apr 21, 2023

Show notes

Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.
Additional materials: www.superdatascience.com/672
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

671: Cloud Machine Learning Apr 18, 2023

Show notes

Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About CloudWolf [07:04]
• Why learning the cloud is important for data scientists [09:12]
• Is learning cloud computing complex? [22:30]
• Essential AWS services [28:31]
• Database options on AWS [33:47]
• How to run analytics on AWS [40:58]
• Why an AWS certification is so helpful [56:35]

Additional materials: www.superdatascience.com/671

670: LLaMA: GPT-3 performance, 10x smaller Apr 14, 2023

Show notes

How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode.
Additional materials: www.superdatascience.com/670
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

669: Streaming, reactive, real-time machine learning Apr 11, 2023

Show notes

In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About Pathway's reactive data processing framework [04:45]
• Reactive data processing use cases [17:08]
• What is the difference between batch and streaming processing [33:18]
• Transformers in data engineering and data streaming [53:44]
• The benefits of Adrian's technical background as a CPO [1:04:17]
• Adrian's responsibilities and favorite tools as a CPO [1:15:25]
• Emerging ML approaches and tools for startups [1:28:49]

Additional materials: www.superdatascience.com/669

668: GPT-4: Apocalyptic stepping stone? Apr 07, 2023

Show notes

AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.
Additional materials: www.superdatascience.com/668
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

667: Harnessing GPT-4 for your Commercial Advantage Apr 04, 2023

Show notes

GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Using GPT-4 to screen for jobs [06:26]
• A framework for improving systems with GPT [13:32]
• Teaming, tooling and collaborating with GPT-4 [29:58]
• How to accelerate data science with generative A.I. [45:36]
• How to prepare for opportunities with GPT-4 [52:09]

Additional materials: www.superdatascience.com/667

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