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 26, 2019 • 1h 6min
273: Predict, Prevent, Detect: Cyber Security
In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273
Jun 21, 2019 • 14min
272: Data Science in Energy
How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272
Jun 19, 2019 • 1h 6min
271: Making the Public Graphically Literate
In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271
Jun 14, 2019 • 25min
270: The Cold is My Master
How can you leverage this to help you focus on your work in data science?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270
Jun 12, 2019 • 1h 4min
269: Maximizing Advertising Efforts With Data
In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269
Jun 7, 2019 • 16min
268: Data Science in Insurance
How can you see data science disrupting and progressing the insurance industry in the future?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268
Jun 5, 2019 • 57min
267: Achieving Data Science Maturity
In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/267
May 31, 2019 • 15min
266: Exploration vs Exploitation
Where are you overexploiting patterns in your life and where can you be more open to some exploration?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266
May 29, 2019 • 1h 2min
265: Data Science in the World of Big Data
In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265
May 24, 2019 • 11min
264: Data Science in Agriculture
How do you see data science continuing to improve the world’s most important industry?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/264
