Super Data Science: ML & AI Podcast with Jon Krohn

In this week’s episode, I take you behind the scenes of our video tutorial productions to see what goes into making our tutorials. Additional materials: www.superdatascience.com/458

Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job. In this episode you will learn: Harpreet’s current life and location [2:25] Data Community Content Creator Awards [8:37] The Artists of Data Science Podcast [14:46] Data Science Dream Job [24:18] Harpreet’s day job at Price Industries [30:48] Coming in data science from a n...

In this week’s episode, I talk about one of my favorite time management techniques: the Pomodoro technique. Additional materials: www.superdatascience.com/456

Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms. In this episode you will learn: Horace’s life and work in New York City [5:00] Syntheia and Horace’s role there [6:25] Horace’s background [12:07] Nearmap [16:35] Syntheia NLP use cases [21:46] Design, coding, and the team [...

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 a...

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 Le...

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 journe...

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 teach...

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...

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? [...

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 scien...

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 [30:2...

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 Eric...

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