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 21, 2017 • 7min
046: What is Reality?
The podcast delves into deep learning, neural networks, and the nature of reality. It explores how our consciousness could be creating a user interface for us to interact with reality, drawing parallels with computer interfaces.
Apr 19, 2017 • 59min
045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok
Eu Jin Lok, Kaggle Grandmaster, shares insights on forecasting hospital stays using algorithms, feature extraction in credit scoring models, and tips for Kaggle competitions. Also discusses ensembles, overfitting, Python vs. R in ML models, winning Kaggle competitions with feature extraction, team's success in grading essays, transition from marketing to data science.
Apr 15, 2017 • 8min
044: Addicted to Data
Exploring risks of texting while driving and addiction to constant information consumption. Emphasizing the importance of safeguarding mental well-being in a technology-driven society.
Apr 12, 2017 • 58min
043: Solving an Optimization Problem with a Custom Built Algorithm
AI Researcher Deblina Bhattacharjee discusses research opportunities, automated healthcare solutions, and using the Fibonacci sequence for optimization problems. They explore AI in healthcare, nature-inspired optimization algorithms, SVMs in data science, and the impact of AI on society.
Apr 7, 2017 • 10min
042: Secret to Success
Exploring different dimensions of success beyond just career achievements, the podcast delves into personal well-being, relationships, and more. The speaker reflects on the key driver of success, comparing hard work to other factors and emphasizing the importance of consistent effort across various aspects of life and business.
Apr 5, 2017 • 49min
041: An Inspiring Journey from a Totally Different Background to Data Science
Nicholas Cepeda shares his journey from a different background to data science, discussing R, Tableau, SAS, internship projects, transitioning to data science from the Marine Corps, analyzing marketing campaigns with SAS, exploring universal basic income, and recommending a data science book.
Mar 31, 2017 • 5min
040: Get in Touch
Celebrating 40 Episodes, host reflects, introduces Listener Interaction Feature, new feature allows listeners to submit questions for guests, encouraging engagement
Mar 29, 2017 • 1h 1min
039: Key Data Science and Statistical Skills to Get Hired at VSCO
Ruben Kogel, Director of Data Science at VSCO, discusses building a data culture, A/B tests, and qualities VSCO seeks in data scientists. Topics include setting up clean data points, predictive marketing strategies, and essential skills for data science candidates.
Mar 24, 2017 • 8min
038: How to Get a Job in Data Science
Learn how to secure a job in data science by finding the right job fit, building a personal brand, and leveraging platforms like LinkedIn, Kaggle, and GitHub.
Mar 22, 2017 • 1h 1min
037: Develop your Dream Data Science Career with Experfy
Harpreet Singh, Founder and Co-CEO of Experfy, shares insights on data science career development, application case studies, and the importance of domain expertise. Topics include optimizing pharmaceutical marketing, IoT for predictive maintenance, and personalizing services through data science.
