SuperDataScience

Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more. In this episode you will learn: • The Birthday Rules [3:51] • A history of work [7:41] • The myth of the lifetime contract [12:15] • What the data says about now [21:02] • On-demand labor market [25:34] • Remote work [32:09] • What role will automation play? [46:27] • Future of employment from the study lens [48:30] Additional materials: www.superdatascience.com/443

In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal. Additional materials: www.superdatascience.com/442

Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices. In this episode you will learn: • What does Kate do (from her children’s perspective) [1:56] • What kind of tools does Kate employ? [5:19] • Kate’s day-to-day [13:03] • DATAcated Conference [16:03] • How do you amass a big LinkedIn following? [20:39] • Kate’s four published books [29:55] • The guidelines to follow to succeed in this field [37:00] • What’s next for Kate? [41:24] Additional materials: www.superdatascience.com/441

In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero. Additional materials: www.superdatascience.com/440

Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field. In this episode you will learn: • Deblina’s master’s program work [4:03] • Deblina’s computer vision research and Ph.D. [11:46] • Deblina’s drumming hobby [20:18] • The daily work [24:40] • What key skills do you need as a data scientist? [33:21] • How can a data scientist prepare for the future? [37:03] • How does Deblina tackle time management? [40:24] Additional materials: www.superdatascience.com/439

In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there. Additional materials: www.superdatascience.com/438

Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions. In this episode you will learn: • Life and work during the pandemic [2:23] • Claudia’s history with horses and riding [8:28] • Claudia’s work at Two Sigma [12:00] • Claudia’s role on a daily basis [20:51] • Tools of the trade [30:27] • What Claudia looks for when hiring [36:37] • What skills do future hires need? [40:32] • Claudia’s history with data science competitions [48:22] • Why work in finance and at Two Sigma? [1:00:19] Additional materials: www.superdatascience.com/437

In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it. Additional materials: www.superdatascience.com/436

Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more. In this episode you will learn: • Erica’s role at Etsy and problem solving between platforms [2:28] • Interesting failures Erica has navigated [25:40] • How does Erica’s team select problems to solve [33:07] • Engineering at scale [40:15] • What does Erica’s working day look like? [46:30] • Etsy is hiring [53:00] • Diversity in hiring [57:12] • Do data scientists need PhDs? [1:01:26] Additional materials: www.superdatascience.com/435

In this episode, I discuss my use of mindfulness and attention sharpening tools to boost my productivity throughout the day. Additional materials: www.superdatascience.com/434

Ben Taylor joins us for the fourth time to discuss the upcoming 2021 trends in the world of data science as well as the post-COVID world. In this episode you will learn: • Ben’s passion for AI [9:41] • Delivering results and KPIs [12:43] • DataRobot and AutoML [20:38] • Transparent storytelling [24:29] • Federated learning [31:37] • ML productionization [37:01] • AI ethics [46:01] • Emerging software packages/tools [54:39] • Remote work [1:02:44] Additional materials: www.superdatascience.com/433

In this episode, I introduce myself, Jon Krohn, as the new host of the SuperDataScience podcast and give you a taste of what to look forward to in 2021! Additional materials: www.superdatascience.com/432

In this final episode featuring Kirill as the host, he examines and presents his top 7 learnings from this unprecedented year. In this episode you will learn: • Backpain and standing desks [5:41] • The internal conflict model [14:33] • What acceptance really means [38:32] • Intellect and Intelligence [58:10] • Needs vs. wants/desires/wishes [1:08:00] • Intention vs effect [1:25:51] • Do not take things personally [1:46:12] Additional materials: www.superdatascience.com/431

In this episode, I talk about the reasoning behind my decision to step down as the host of the SDS podcast. Additional materials: www.superdatascience.com/430

Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021. In this episode you will learn: • Global warming [4:37] • Our big podcast announcement [6:57] • Who is Jon Krohn? [12:14] • Top 3 technological breakthroughs of the year [21:28] • AlphaFold [23:33] • GPUs [45:51] • GPT-3 [1:00:26] • Wrap up [1:26:40] Additional materials: www.superdatascience.com/429