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.
Latest episodes
Jul 2, 2021 • 3min
484: Algorithm Aversion
In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms.Additional materials: www.superdatascience.com/484
Jun 29, 2021 • 1h 4min
483: Setting Yourself Apart in Data Science Interviews
Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more!In this episode you will learn:
Data Science Infinity [5:40]
“The Essential AI and Data Science Handbook for Recruitment” [17:40]
How can aspiring data scientists set themselves apart? [21:30]
What skillset should data scientists have? [34:36]
Should data science be trying to be data engineers? [41:14]
How can organizations ensure data science projects are a success? [50:50]
Additional materials: www.superdatascience.com/483
Jun 25, 2021 • 5min
482: Continuous Calendars
In this episode, I talk about the advantages of using a continuous calendar.Additional materials: www.superdatascience.com/482
Jun 22, 2021 • 59min
481: Performance Marketing Analytics
Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role.In this episode you will learn:
What is performance marketing? [3:29]
How can advertisers take advantage of these tactics? [13:04]
The importance of quality data in performance marketing [20:19]
Human value performance marketing [25:30]
How does Croud optimize? [29:05]
What are the best KPIs in this industry? [34:02]
Roles available at Croud now [39:11]
Typical tools at Croud [42:43]
What clients work best for Croud? [48:56]
Additional materials: www.superdatascience.com/481
Jun 18, 2021 • 8min
480: Top Five Resume Tips
In this episode, I go over my top 5 tips for refining your perfect data science resume. Additional materials: www.superdatascience.com/480
Jun 15, 2021 • 1h 13min
479: Knowledge Graphs
Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team.In this episode you will learn:
Maureen’s work with Reonomy [5:40]
Knowledge graphs and use cases [7:35]
Other tools Reonomy uses [18:58]
What Maureen looks for in potential hires, soft skills and hard skills [26:28]
Hiring at Reonomy [41:40]
Maureen’s tips for growing a data science team [48:55]
Tools to transition from academia to industry [52:45]
Additional materials: www.superdatascience.com/479
Jun 11, 2021 • 6min
478: Five Keys to Success
In this episode, I go over my 5 keys to success to tackle any goal.Additional materials: www.superdatascience.com/478
Jun 8, 2021 • 50min
477: How to Thrive as an Early-Career Data Scientist
Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.In this episode you will learn:
What is Make School? [5:00]
Sidney’s interest in AI and computer science [10:56]
Graph theory and graph convolutional neural networks [19:53]
What tools does Sidney use for her work? [31:16]
Sidney’s internship [36:52]
How other beginners can get involved in data science [38:12]
Sidney’s goals [41:57]
Additional materials: www.superdatascience.com/477
Jun 4, 2021 • 3min
476: Peer-Driven Learning
In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life.Additional materials: www.superdatascience.com/476
Jun 1, 2021 • 45min
475: The 20% of Analytics Driving 80% of ROI
David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work.In this episode you will learn:
Intro to Dave on Data [6:50]
20% analytics that drives 80% of ROI [11:04]
The benefits of SQL [19:15]
The uses of R [24:50]
Machine learning [34:15]
Additional materials: www.superdatascience.com/475
