SuperDataScience
Summary: The SuperDataScience podcast brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. 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, and commercialization − everything you need to crush it with data science.
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Podcasts:
Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional. In this episode you will learn: • How Sean and Kirill met at DSGO Virtual [4:25] • Sean’s experience at the virtual event [7:32] • Sean’s journey [10:06] • Do you need the credibility of a degree? [22:01] • Sean’s supplemental readings [24:33] • What can others do to replicate Sean’s success? [39:18] • Sean’s advice for others just starting [50:15] Additional materials: www.superdatascience.com/383
Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data. Additional materials: www.superdatascience.com/382
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
