Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books
Jun 10, 2020 • 60min
373: TensorFlow and AI Learnings for Developers
Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.In this episode you will learn:
Who is Laurence Moroney? [4:14]
The importance of developers' focus on AI [8:21]
What is TensorFlow and how can it help in AI? [15:53]
Differences in TensorFlow editions [26:26]
Careers and overcoming the fear of AI [31:14]
TensorFlow community [48:46]
What does the future look like? [54:40]
Additional materials: www.superdatascience.com/373
Jun 5, 2020 • 17min
372: Understanding the P-Value
Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. Additional materials: www.superdatascience.com/372
Jun 3, 2020 • 1h 23min
371: The Power of Memory For Productivity
Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.In this episode you will learn:
Anthony’s technique for memorizing names [12:04]
Anthony’s new book and concept of memory [15:45]
Memory and productivity insights [31:44]
Memory palace construction methods [37:30]
How can memory techniques help a data scientist [1:01:30]
Challenge frustration curve [1:07:28]
Further advice and learnings [1:11:59]
Additional materials: www.superdatascience.com/371
May 29, 2020 • 10min
370: What is Support Vector Regression (SVR)?
In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.Additional materials: www.superdatascience.com/370
May 27, 2020 • 1h 6min
369: Real Data Analytics for Economics, HR, and COVID-19
John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.In this episode you will learn:
Living and working in Washington D.C. [4:11]
John’s initial jobs before Edgeworth [8:41]
Edgeworth's core values [12:01]
Edgeworth Economics and Edgeworth Analytics case studies [16:57]
Data analytics vs. data science [29:50]
Parachuting into industries [36:06]
Real analytics vs. “lip service” [42:11]
HR business analytics [51:13]
How much, as a business owner, should you rely on a consultant? [56:26]
John’s advice to worried business owners [59:24]
Additional materials: www.superdatascience.com/369
May 22, 2020 • 10min
368: Future-Proof Your Career
Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.Additional materials: www.superdatascience.com/368
May 20, 2020 • 1h 18min
367: Building Data Pipelines for COVID-19 Modeling
Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.In this episode you will learn:
Sam’s current work and COVID-19 Critical Care Consortium [4:22]
The COVID data science pipeline and workflow [12:50]
Sam’s second online course [36:22]
Bayesian inference [43:06]
Sam at DSGO Virtual [53:30]
Sam’s work on dark matter [1:01:25]
What is Sam reading right now? [1:09:14]
Additional materials: www.superdatascience.com/367
May 15, 2020 • 7min
366: Define Your Own Success
Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.Additional materials: www.superdatascience.com/366
May 13, 2020 • 1h 21min
365: Deep Learning Models For Recruitment
Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.In this episode you will learn:
Coronavirus update in New York City [2:36]
What brought Jon to New York? [5:38]
Data science and coronavirus [12:50]
Jon’s work at untapt [18:09]
Techniques used to design models in untapt [22:02]
untapt’s approach to explainability and bias [30:19]
Jon’s other contributions to data science [38:10]
Jon’s book and visual teaching styles [44:32]
LinkedIn Q&A [52:05]
Jon’s recommendation for becoming best at deep learning [1:13:09]
Additional materials: www.superdatascience.com/365
May 8, 2020 • 9min
364: Depression and Suicidal Thoughts
Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic.Additional materials: www.superdatascience.com/364
