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
Jul 31, 2019 • 1h 2min
283: Getting The Most Out of Data With Gradient Boosting
In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/283
Jul 26, 2019 • 11min
282: Learning Something New
What can you spend time learning that’s new to you and how can it help your lifestyle and career?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/282
Jul 24, 2019 • 1h 6min
281: Futureproofing Your Digital Marketing Tactics
In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/281
Jul 19, 2019 • 10min
280: Gap Year
Is there a period in your life you can look at and feel grateful for your freedom and experience?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/280
Jul 17, 2019 • 1h 9min
279: Embedding Data Science in Business
In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279
Jul 12, 2019 • 16min
278: Your Core Strength
What do you do extremely well that no one else around you does quite as well and how can you leverage it?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/278
Jul 10, 2019 • 1h 4min
277: The New Age of Reason
In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277
Jul 5, 2019 • 16min
276: Data Science in Wealth Management
How can you use these processes in your industry?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276
Jul 3, 2019 • 1h 2min
275: Machine Learning Through Reinforcement & Contextual Bandits
In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275
Jun 28, 2019 • 14min
274: Ask the Right Question
What has happened to you recently that could call for clarity from a mentor or coach? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274
