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
Mar 5, 2020 • 1h 12min
345: Machine Learning At Twitter
I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.In this episode you will learn:
What is great about Twitter [5:31]
Dan’s Ph.D. program [9:25]
Dan’s work at Twitter [18:07]
Dan at DSGO 2020 [35:16]
LinkedIn Q&A [40:25]
Dan’s advice [1:03:58]
Additional materials: www.superdatascience.com/345
Feb 28, 2020 • 8min
344: History of Data Science - Part 3
Explore the rise of data science from 2010 to 2015, as self-driving cars hit the scene and the profession evolved. Tech giants like Google and Tesla disrupted traditional automotive models, showcasing the merger of data and vehicles. The period saw thousands of budding data scientists emerge, influenced by key articles that labeled the field as 'the sexiest job.' Educational programs began to sprout, striving to keep up with rapid advancements, promising a more democratized future for aspiring data professionals.
Feb 27, 2020 • 1h 10min
343: Career Jumpstarts through Data Science Retreat
I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.In this episode you will learn:
Overview of Jose’s current projects [5:55]
"What if I don’t have a tech background?" [09:58]
How does it work? [11:51]
Program structure [21:24]
Tips for picking a portfolio project [26:45]
The program’s next intake [1:03:06]
Additional materials: www.superdatascience.com/343
Feb 21, 2020 • 9min
342: History of Data Science - Part 2
Step into the 2000s as data science transforms into a recognized profession. Discover the clash between sci-fi visions of AI and the reality of technology's evolution. Learn about pivotal figures like William Cleveland and Leo Breiman, who argued for unifying analytics and computer science. Explore the boom of data science around 2008 and the emergence of crucial journals. Finally, witness the growing recognition of data scientists and their importance in shaping the field.
Feb 20, 2020 • 1h 16min
341: Talking Robotics with Brandon Rohrer
Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.In this episode you will learn:
Brandon at MIT [7:41]
iRobot [15:14]
Moving from Facebook to iRobot [17:14]
Brandon’s work in iRobot [20:18]
Brandon as a data science influencer [30:08]
Q&A [40:40]
Additional materials: www.superdatascience.com/341
Feb 14, 2020 • 20min
340: History of Data Science - Part 1
In this engaging exploration, the roots of data science are traced back to the 9th century thanks to Arab mathematicians. Fast forward to the 18th century, calculus emerges, enhancing analytical depth. The 1960s bring John Tukey, who advocates for data analysis as a distinct science. We also learn about the urgent need for domain knowledge and see the growth of database marketing in the 1990s. Critiques of poor data practices remind us of the importance of meaningful analysis, setting the stage for a field that's been evolving for decades.
Feb 13, 2020 • 1h 26min
339: The Power of Coaching
I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.In this episode you will learn:
Managing expectations [9:21]
Personal beliefs & parenting [17:42]
Value of having a coach [25:33]
Mindset over skillset [37:24]
Dream lists [51:06]
Ivor’s new projects [1:03:20]
Additional materials: www.superdatascience.com/339
Feb 7, 2020 • 6min
338: Too Many Photos
I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.Additional materials: www.superdatascience.com/338
Feb 6, 2020 • 1h 15min
337: Hadley Wickham Talks Integration and Future of R and Python
Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.In this episode you will learn:
Hadley’s R packages [8:26]
Better integrations between R and Python [20:11]
LinkedIn Q&A [33:34]
useR Conference vs. RStudio Conference [50:46]
LinkedIn Q&A: Career-related questions [1:01:06]
LinkedIn Q&A: Future-related questions [1:08:01]
Additional materials: www.superdatascience.com/337
Jan 31, 2020 • 10min
336: Better Than Perfect
I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life.Additional materials: www.superdatascience.com/336
