454: The Staggering Pace of Progress Part 2
In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields. Additional materials: www.superdatascience.com/454

In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields. Additional materials: www.superdatascience.com/454
Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve. In this episode you will learn: Welch Labs on YouTube [4:54] What Stephen’s been up to [7:56] Stephen’s 2020 year-end blog post [10:11] Stephen’s reflections on 10 areas worth focusing on [16:25] Additional materials: www.superdatascience.com/453...
In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today. Additional materials: www.superdatascience.com/452
Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work. In this episode you will learn: Dan’s neuroscience undergrad and MATLAB [4:12] Dan’s Ph.D. timeline and research [14:01] How to start a Ph.D. while working full time [22:45] Dan’s work at TrueMotion and label data [30:39] Dan’s title and role at Twitter [39:15] Specific projects at Twitter [44:09] What skills someone should bring to a T...
This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra. Additional materials: www.superdatascience.com/450
Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning. In this episode you will learn: Comet ML [3:22] What is a data science evangelist? [7:08] FullyConnected [12:04] Imposter Syndrome and Ayodele’s book [15:57] What Ayodele wished she learned from grad school [20:25] Uncovering Bias in Machine Learning [27:00] Where can we affect this positive change in fairness? [31:08] The potential for a ros...
This week, I answer your questions about how to take yourself from data science practitioner to data science leader. Additional materials: www.superdatascience.com/448
Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors. In this episode you will learn: SFL Scientific [4:20] SFL’s example work [10:55] Public sector vs private sector work [20:28] Michael’s day-to-day [30:18] What is Michael looking for in the people he hires? [33:38] Michael’s career journey [41:39] What is Michael excited about for the future? [48:38] Additional materials: www.superdatas...
This week I answer your questions about machine learning and how to educate yourself further in the field. Additional materials: www.superdatascience.com/446
Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world. In this episode you will learn: Kylie.ai under Directly [4:51] Sinan’s day-to-day work and tools [10:45] Use cases [18:27] AutoML’s role in these processes [21:55] What hard or soft skills are needed for this work? [29:32] Sinan’s background in teaching [34:58] Sinan’s history in pure math and applied math [39:44] Sinan’s math tattoos [43:48] Addit...
In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability. Additional materials: www.superdatascience.com/444
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.superdatasc...
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]...
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 mate...
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 hi...
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 scient...
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...
In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. Additional materials: www.superdatascience.com/428
Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams. In this episode you will learn: Syafri’s day job at GOJEK [11:26] What is a super app? [14:50] The data science department at GOJEK [19:47] High-performance data science team [31:17] Syafri’s career journey and love of math [39:49] Apply to work at GOJEK [55:42] Working for the benefit of others [1:00:21] Additional mater...
In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work. Additional materials: www.superdatascience.com/426
Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers. In this episode you will learn: 23 years at IBM, before and after data science [6:11] IBM Watson and AI services [12:25] Skills to utilize AI services [25:02] How to achieve significant ROI on AI deployment [41:31] What does the AI future look like to Rama? [52:41] Ethics and the benefits of AI [1:04:37] Additional materials: www...