Superdatascience

Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution. In this episode you will learn: Tony’s book on digital transformation [2:51] What is digital transformation [8:30] Five stage framework of going through digital transformation [11:13] Case studies through the stages [16:43] Why do digital transformations fail? [27:26] VC portfolio approach [31:21] Tony’s consulting work and top tips [40:11] Change management and COVID-19 [44:44] Disruption vs. digital transformation [51:14] What does the future hold? [53:50] Additional materials: www.superdatascience.com/381

Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. Additional materials: www.superdatascience.com/380

Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want. In this episode you will learn: Who is Christopher Bishop? [5:18] How Christopher developed his advising framework [9:17] Why data scientists? [12:07] What is the Future Career Toolkit? [15:54] How to connect with people as an unknown data scientist [34:09] What's the intended outcome of the framework? [43:53] Additional materials: www.superdatascience.com/379

In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you. Additional materials: www.superdatascience.com/378

Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings. In this episode you will learn: Deborah's origins [4:21] Pursuing physics as a Jewish-Mexican woman [9:43] Deborah's work in helping women in STEM [23:10] How can companies also aid women in STEM? [28:10] How can individual data scientists work on creative thinking? [44:31] Deborah's work at Metis [48:26] Data literacy done the right way [1:00:33] The future of data science [1:04:55] Additional materials: www.superdatascience.com/377

In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this. Additional materials: www.superdatascience.com/376

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

Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning. In this episode you will learn: Coronavirus update in New York City [2:36] What brought Jon to New York? [5:38] Data science and coronavirus [12:50] Jon’s work at untapt [18:09] Techniques used to design models in untapt [22:02] untapt’s approach to explainability and bias [30:19] Jon’s other contributions to data science [38:10] Jon’s book and visual teaching styles [44:32] LinkedIn Q&A [52:05] Jon’s recommendation for becoming best at deep learning [1:13:09] Additional materials: www.superdatascience.com/365

Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic. Additional materials: www.superdatascience.com/364

Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals. Items mentioned in this podcast: The power of data plus intuition [5:29] BADIR framework for data science [12:36] What can students pick up from Aryng’s courses? [24:58] SWAT data science teams [34:16] The rate of successful projects [39:38] Four D’s of Data Culture [45:27] Decision science vs data science [49:17] Piyanka’s inspiration for her book [51:23] Additional materials: www.superdatascience.com/363

Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future. Additional materials: www.superdatascience.com/362