Superdatascience

Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career. This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why learn data engineering? [06:55]• What is data engineering? [08:08]• What sets Senior Data Engineers apart from junior ones? [13:57]• The must-know data-engineering tools [20:26]• The right path to learn data engineering [44:24]• Are certifications worth it? [51:46]• The future of data engineering [55:24]• Andreas'

How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients. Additional materials: www.superdatascience.com/656 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What an Executive Data Scientist in Residence is [05:27]• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]• How companies can ensure they profit from AI projects [36:47]• Possible organization structures for data science teams to be profitable [1:02:41]• The current gaps in data science educ

14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI. Additional materials: www.superdatascience.com/654 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters. In this episode you will learn:• How Glean extracts actionable insights from their client's data warehouses [06:48]• What sets Glean apart from other platforms [12:43]• Glean's software stack [14:43]• Glean's recent fundraising journey [24:56]• The essential characteristics of a founding team [30:53]• How Carlos founded Glean [36:56]• Carlos's former role at Flatiron Health [40:49]• How Carlos created a robotic painter [48:57]Additional materials: www.superdatascience.com/653 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly. Additional materials: www.superdatascience.com/652 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color. In this episode you will learn:• What a “data storyteller” is [11:01]• Why color use should always be intentional [12:52]• Is color always necessary in data visualization? [29:41]• Color selection tips for your data visuals [31:19]• Three-color scales [34:54]• How to respect individual cultures in the color choices you make [38:25]• Best tools for data visualization [54:35]Additional materials: www.superdatascience.com/651 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications. Additional materials: www.superdatascience.com/650 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1. In this episode you will learn:• Kirill and Hadelin's new course [17:34]• Supervised vs unsupervised learning [26:23]• False positives and false negatives [31:21]• Logistic regression [43:00]• Holding out a set of test data [46:39]• Feature scaling [52:45]• The Adjusted R-Squared metric [59:44]• The five assumptions of linear regression [1:05:12]• The Elbow Method [1:11:41] Additional materials: www.superdatascience.com/649 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice. Additional materials: www.superdatascience.com/648 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Cognitive bias in understanding AI [14:13]• How AI will augment rather than replace human workers [24:27]• OpenAI and regulatory action [35:13]• Jobs that might be at risk of being automated [39:57]• The potential of citizen science in accumulating and analyzing data [1:02:18]• How AI will change the game for the C-suite [1:15:17]Additional materials: www.superdatascience.com/647

Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool. Additional materials: www.superdatascience.com/646 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • The relationship between data science and cyber security [4:49] • The importance of low-latency for an optimal gaming experience [9:15] • The future of gaming [18:13] • Carly's thoughts on the Metaverse [25:43] • Carly’s favorite operating systems, software packages, and keyboards [30:27] • How to transition from a quantitative academic background into data science [45:28] • Why Carly is called the “Rebel Data Scientist” [53:27] • How to file a patent [57:21] Additional materials: www.superdatascience.

Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions. Additional materials: www.superdatascience.com/644 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn:• What does Biologics AI mean? [03:48]• How to use AI to predict protein structures [07:37]• What antibodies are [14:00]• Personalized Medicine is slow but A.I. can speed it up [24:36]• The future of predicting 4D protein structures [44:30]• Applications of machine learning during the pandemic [53:27]Additional materials: www.superdatascience.com/643

Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level. Additional materials: www.superdatascience.com/642 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next. This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn:• A recap of 2022 predictions [5:22]• Our data science trend predictions for 2023:- Data as a product [23:36]- Multimodal A.I. models [32:26]- The data mesh [42:49]- Privacy & AI Trust [50:54]- Environmental Sustainability [54:37]• Sadie's goals for 2023 [1:16:04] Additional materials: www.superdatascience.com/641

From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars. Additional materials: www.superdatascience.com/640 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you. This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn:• Why Mariya was first interested in learning Python [04:44]• The positive potential for future AI applications [12:02]• Useful broadcasting software [23:09]• The importance of productivity hacking in data science [34:13]• The ethical problems of web scraping [38:45]• Mariya’s favorite Python libraries [53:48]• What excites Mariya about the future of NLP [1:13:53]• Mariya’s favorite software tools [1:15:2

OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year. Additional materials: www.superdatascience.com/638 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.