Superdatascience

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

John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic. In this episode you will learn: Coronavirus and how it will affect the way we work [3:06] John David’s consulting work [8:19] Why did John get into consulting? [13:17] Does John David’s age affect his clients? [25:03] John David’s podcast [34:59] The difference between data science and analytics [40:26] Creating space for opportunities [49:54] 3 top tips for getting a job in data science [54:28] Additional materials: www.superdatascience.com/361

In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules. Additional materials: www.superdatascience.com/360

Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations. In this episode you will learn: Long-distance networking [5:58] Emily’s book [9:38] Who is the field of data science for? [14:02] Should newcomers use Python or R? [23:34] Five company archetypes [28:36] Approaching data science interviews and negotiating [31:25] How do you actually get an interview? [48:08] Emily at DSGO 2020 [57:07] Emily’s final take-home message [58:52] Where to buy Emily’s book and SDS discount code [1:04:26] Additional materials: www.superdatascience.com/359

In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level. Additional materials: www.superdatascience.com/358

Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls. In this episode you will learn: What work does Tracy do? [5:50] Tracy’s training [8:20] Tracy’s view on the consequences of the pandemic [12:55] Ways to tackle emotions during lockdown [17:14] Final advice to those struggling during lockdown [1:00:11] Additional materials: www.superdatascience.com/357

Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider. Additional materials: www.superdatascience.com/356

DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children. In this episode you will learn: How does it feel to be the person who created data science as we know it now? [3:17] What data science is not [6:01] Ethics and data science development in different countries [10:00] What is the “biorevolution”? [16:02] The importance of data sharing [20:10] The current state of Chief Data Scientist of USA [24:07] LinkedIn Q&A [26:03] What to think about when you think about data science [44:08] Additional materials: www.superdatascience.com/355

Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it? Additional materials: www.superdatascience.com/354