In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions. In this episode you will learn: • Lauren's experience as a course assistant [5:53] • Stanford's Hacking the Coronavirus Course [11:53] • How do you empower minority groups in AI [19:45] • Lauren on zero-shot multilingual neural machine translation [23:25] • Lauren's work at Glean [27:58] • The Contrary Talent Network [34:30] • The tools Lauren uses at Glean [43:39] • The most important skills to possess as a data scientist [47:29] Additional materials: www.superdatascience.com/549

SuperDataScience

SDS 549: Engineering Natural Language Models — with Lauren Zhu

Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track. Additional materials: www.superdatascience.com/548

SDS 548: Daily Habit #5: Meditate

In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression. In this episode you will learn: • Johnathan's background [2:53] • How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [8:00] • The role that data science and ML play in modern genetics research [15:08] • About Jonathan book "How Genes Influence Behavior" [19:45] • The day-to-day life of a world-class medical sciences researcher [32:24] • The open-source software libraries that Jonathan uses for data modeling [40:33] • A single question you can ask to prevent a severely depressed person from committing suicide [52:00] • LinkedIn Q&A [54:41] • The future of psychiatric treatments [1:05:35] Additional materials: www.superdatascience.com/547

SDS 547: How Genes Influence Behavior — with Prof. Jonathan Flint

Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response. Additional materials: www.superdatascience.com/546

SDS 546: Daily Habit #4: Alternate-Nostril Breathing

Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications. In this episode you will learn: • About Strongest's event platform and iOS app [6:06] • How Strongest scaled to serve million [8:14] • Strongest's unique approach to building a fitness app [17:50] • How to rapidly test ML models for deployment [29:01] • The three critical traits Matthew looks for in anyone he hires [33:11] • Mining the Social Web [41:14] • The values instilled in Matthew by pursuing a military education [53:30] • The key skills Matthew wishes he’d learned earlier in his career [1:03:51] Additional materials: www.superdatascience.com/545

SDS 545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell

Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier. Additional materials: www.superdatascience.com/544

SDS 544: Daily Habit #3: Make Your Bed

Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team. In this episode you will learn: • The three factors that spark A.I. innovation [12:48] • How to make great use of the unlabelled, unbalanced data sets [18:54] • How to engineer reusable data and software components [25:09] • Merantix's A.I. Canvas framework for successful innovation [29:59] • How to be a part of Merantix's program as a founder [45:23] Additional materials: www.superdatascience.com/543

SDS 543: Sparking A.I. Innovation — with Nicole Büttner

Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. Additional materials: www.superdatascience.com/542

SDS 542: Continuous Calendar for 2022

In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder. In this episode you will learn: • What is data observability? [4:35] • How to identify data quality issues? [8:56] • Kevin's PhD research on automating data science systems using machine learning [16:18] • Why Kevin launched Metaplane [28:50] • The pros and cons of an academic career relative to the start-up hustle [31:57] • Kevin's experience in Y-Combinator accelerator [39:50] • The software tools he uses daily as a CEO [50:54] • What Kevin looks for in data engineer hires [56:13] Additional materials: www.superdatascience.com/541

SDS 541: Data Observability — with Dr. Kevin Hu

In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note. Additional materials: www.superdatascience.com/540

SDS 540: Daily Habit #2: Start the Day with a Glass of Water

In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more. In this episode you will learn: • What is interpretable machine learning? [8:41] • The social and financial ramifications of interpreting models incorrectly [10:23] • The challenges involved in interpretable ML [16:00] • The most important interpretable ML concepts to master [19:54] • The future of Interpretable ML [32:41] • What it’s like to be a Climate & Agronomic Data Scientist [42:28] • Serg’s day-to-day tools [49:05] • Serg's productivity tips [50:25] • Why Serg pursued a Master's in Data Science [52:25] Additional materials: www.superdatascience.com/539

SDS 539: Interpretable Machine Learning — with Serg Masís

In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits. Additional materials: www.superdatascience.com/538

SDS 538: Daily Habit #1: Track Your Habits

Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022. In this episode you will learn: • A look back at data science trends for 2021 [4:03] • Micro and macro data science trends for 2022 [12:30] • AutoML tools [15:20] • The social implications of deepfakes [21:21] • Scalable AI [38:40] • Macro data science trends for 2022 [42:45] • The impact of the remote-working economy in data science [43:21] • Blockchain in data science [50:28] • Data literacy of the global workforce [1:01:07] Additional materials: www.superdatascience.com/537

SDS 537: Data Science Trends for 2022

Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022. Additional materials: www.superdatascience.com/536

SDS 536: What I Learned in 2021

Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best. In this episode you will learn: • The story behind the naming of Yhat and its early beginnings [5:10] • Austin and Yhat's experience at Y Combinator [19:00] • The benefits of being a technical founder [25:00] • From arts degree graduate to successful tech entrepreneur [27:00] • Austin's latest venture, Laika [39:30] • The tools that Austin uses day-to-day [47:30] • Unity gaming environment [49:58] • What makes a great data scientist [56:23] Additional materials: www.superdatascience.com/535

SDS 535: How to Found, Grow, and Sell a Data Science Start-up

Kirill Eremenko is a Data Science coach and lifestyle entrepreneur. The goal of the Super Data Science podcast is to bring you the most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big Data, visualization, predictive modeling, forecasting, analysis, business processes, statistics, R, Python, SQL programming, tableau, machine learning, hadoop, databases, data science MBAs, and all the analytcis tools and skills that will help you better understand how to crush it in Data Science.

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