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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:

586: Daily Habit #10: Limit Social Media Use Jun 24, 2022

Show notes

In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work.

Additional materials: www.superdatascience.com/586

585: PyMC for Bayesian Statistics in Python Jun 21, 2022

Show notes

In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.

In this episode you will learn:

What Bayesian statistics is [7:30]
Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]
How PyMC was developed [20:41]
Commercial applications of Bayesian stats [43:07]
How to build a successful company culture [1:03:14]
What Thomas looks for when hiring [1:11:13]
Thomas’s top resources for learning Bayesian stats yourself [1:13:57]

Additional materials: www.superdatascience.com/585

584: OpenAI Codex Jun 17, 2022

Show notes

In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work.

Additional materials: www.superdatascience.com/584

583: The State of Natural Language Processing Jun 14, 2022

Show notes

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

582: Model Speed vs Model Accuracy Jun 10, 2022

Show notes

In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.

Additional materials: www.superdatascience.com/582

581: Bayesian, Frequentist, and Fiducial Statistics in Data Science Jun 07, 2022

Show notes

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

580: Collecting Valuable Data Jun 03, 2022

Show notes

In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process.

Additional materials: www.superdatascience.com/580

579: Transforming Dentistry with A.I. May 31, 2022

Show notes

In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business.

In this episode you will learn:

How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11]
How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15]
Overjet's particular ML challenges within the dental industry [15:45]
Wardah's experience in introducing A.I. to the dental industry [20:12]
Wardah's tips for building a successful A.I. business [23:34]
What she looks for in the data scientists and software engineers she hires [39:36]

Additional materials: www.superdatascience.com/579

578: Identifying Commercial ML Problems May 27, 2022

Show notes

In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development.

Additional materials: www.superdatascience.com/578

577: Scaling A.I. Startups Globally May 24, 2022

Show notes

In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai.

In this episode you will learn:

How Husayn's start-up journey began [5:55]
How Husayn determined that his challenge could be solved by machine vision [11:18]
Onfido's initial seed stages [18:23]
Launching and scaling your start-up in the U.S. market [22:00]
The most important component in building the best product [26:30]
Husayn's latest start-up [28:52]
Husayn’s startup project decision-making process [37:49]
Choosing your co-founding team [44:04]

Additional materials: www.superdatascience.com/577

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