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
Apr 8, 2020 • 49min
355: DJ Patil on Harnessing the Power of Data Science Community
DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.In this episode you will learn:
How does it feel to be the person who created data science as we know it now? [3:17]
What data science is not [6:01]
Ethics and data science development in different countries [10:00]
What is the “biorevolution”? [16:02]
The importance of data sharing [20:10]
The current state of Chief Data Scientist of USA [24:07]
LinkedIn Q&A [26:03]
What to think about when you think about data science [44:08]
Additional materials: www.superdatascience.com/355
Apr 3, 2020 • 14min
354: Negative Coefficients
Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?Additional materials: www.superdatascience.com/354
4 snips
Apr 1, 2020 • 1h 16min
353: How to Practice Human-Centric Data Science
Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.In this episode you will learn:
Brian’s two lives [7:28]
Brian’s human-first focal point [10:05]
The process of Brian’s consulting work [17:07]
How can an individual contributor be better at design thinking? [40:43]
Walkthrough Brian’s course and seminar [54:37]
Additional materials: www.superdatascience.com/353
Mar 27, 2020 • 14min
352: History of Data Science - Part 5
The final segment explores the future of data science through the insights of influential figures. Ray Kurzweil predicts human-level AI by 2029, while Bill Gates envisions productivity gains through AI. Yuval Noah Harari warns of potential societal risks and displacement, urging caution. Ben Goertzel emphasizes the unpredictability of superintelligence and stresses the importance of the values we program into AI. DJ Patil advocates for ethical data practices, pushing data scientists to prioritize societal benefits.
Mar 25, 2020 • 1h 1min
351: Self-Starting In Data Science
Stratos Hadjioannou, a freshly hired self-taught data scientist, talks about his learnings, tackling interviews with little experience, and his first data science job. Topics include starting in data science, maintaining learning momentum, planning steps to get a job, triad for successful interviews, application process, and experiences from the first job.
Mar 20, 2020 • 6min
350: Coronavirus
Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?Additional materials: www.superdatascience.com/350
Mar 19, 2020 • 1h 2min
349: Human-in-the-Loop Algorithms in Retail
Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.In this episode you will learn:
Working in Stitch Fix [5:18]
How does Stitch Fix work? [11:29]
Stitch Fix algorithms tour [20:14]
Open positions in Stitch Fix [36:25]
Stitch Fix takeaways for other companies [39:07]
Humans + machines [44:19]
Stitch Fix global expansion [47:34]
Future of personalization [50:16]
Brad’s advice to data scientists [55:33]
Additional materials: www.superdatascience.com/349
Mar 13, 2020 • 20min
348: History of Data Science - Part 4
In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.Additional materials: www.superdatascience.com/348
Mar 12, 2020 • 1h 9min
347: How To Tell Your Story For Career Success
Professional storyteller and career coach Kerri Twigg discusses the importance of storytelling in career success, including building a career story, preparing for interviews, and the three parts of a career story. They emphasize the need for effective communication, understanding and sharing your career story, and being authentic in telling your story. Tips for introducing yourself in a job interview and the importance of authenticity in the professional sector are also covered.
Mar 6, 2020 • 15min
346: My Top 5 Productivity Hacks
In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.Additional materials: www.superdatascience.com/346
