Super Data Science: ML & AI Podcast with Jon Krohn

Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.In this episode you will learn: Will we have cloud-based solutions for VR and working from home? [8:15] Greg’s career journey [11:50] From Hadoop to Cloud [23:35] The cloud element in data science [30:17] Data science and AI in Oracle [33:00] Is Oracle more suited for larger companies only? [37:35] Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12] Trends in data science and data management [45:14] Why should someone choose Oracle over any other open source? [52:50] How does the future of data management look like? [56:00] 5G and edge computing [1:01:36] Greg’s recommendation to data scientists [1:04:28] Additional materials: www.superdatascience.com/375

In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.Additional materials: www.superdatascience.com/374

Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.In this episode you will learn: Who is Laurence Moroney? [4:14] The importance of developers' focus on AI [8:21] What is TensorFlow and how can it help in AI? [15:53] Differences in TensorFlow editions [26:26] Careers and overcoming the fear of AI [31:14] TensorFlow community [48:46] What does the future look like? [54:40] Additional materials: www.superdatascience.com/373

Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. Additional materials: www.superdatascience.com/372

Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.In this episode you will learn: Anthony’s technique for memorizing names [12:04] Anthony’s new book and concept of memory [15:45] Memory and productivity insights [31:44] Memory palace construction methods [37:30] How can memory techniques help a data scientist [1:01:30] Challenge frustration curve [1:07:28] Further advice and learnings [1:11:59] Additional materials: www.superdatascience.com/371

In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.Additional materials: www.superdatascience.com/370

John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.In this episode you will learn: Living and working in Washington D.C. [4:11] John’s initial jobs before Edgeworth [8:41] Edgeworth's core values [12:01] Edgeworth Economics and Edgeworth Analytics case studies [16:57] Data analytics vs. data science [29:50] Parachuting into industries [36:06] Real analytics vs. “lip service” [42:11] HR business analytics [51:13] How much, as a business owner, should you rely on a consultant? [56:26] John’s advice to worried business owners [59:24] Additional materials: www.superdatascience.com/369

Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.Additional materials: www.superdatascience.com/368

Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.In this episode you will learn: Sam’s current work and COVID-19 Critical Care Consortium [4:22] The COVID data science pipeline and workflow [12:50] Sam’s second online course [36:22] Bayesian inference [43:06] Sam at DSGO Virtual [53:30] Sam’s work on dark matter [1:01:25] What is Sam reading right now? [1:09:14] Additional materials: www.superdatascience.com/367

Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.Additional materials: www.superdatascience.com/366