484: Algorithm Aversion
In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms. Additional materials: www.superdatascience.com/484

In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms. Additional materials: www.superdatascience.com/484
Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more! In this episode you will learn: Data Science Infinity [5:40] “The Essential AI and Data Science Handbook for Recruitment” [17:40] How can aspiring data scientists set themselves apart? [21:30] What skillset should data scientists have? [34:36] Should data science be trying to be data engineers? [41:14] How can organizations ensure data science projects are a success...
In this episode, I talk about the advantages of using a continuous calendar. Additional materials: www.superdatascience.com/482
Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role. In this episode you will learn: What is performance marketing? [3:29] How can advertisers take advantage of these tactics? [13:04] The importance of quality data in performance marketing [20:19] Human value performance marketing [25:30] How does Croud optimize? [29:05] What are the best KPIs in this industry? [34:02] Roles available at Croud now [39:11]...
In this episode, I go over my top 5 tips for refining your perfect data science resume. Additional materials: www.superdatascience.com/480
Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team. In this episode you will learn: Maureen’s work with Reonomy [5:40] Knowledge graphs and use cases [7:35] Other tools Reonomy uses [18:58] What Maureen looks for in potential hires, soft skills and hard skills [26:28] Hiring at Reonomy [41:40] Maureen’s tips for growing a data science team [48:55] Tools to transition from acad...
In this episode, I go over my 5 keys to success to tackle any goal. Additional materials: www.superdatascience.com/478
Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist. In this episode you will learn: What is Make School? [5:00] Sidney’s interest in AI and computer science [10:56] Graph theory and graph convolutional neural networks [19:53] What tools does Sidney use for her work? [31:16] Sidney’s internship [36:52] How other beginners can get involve...
In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life. Additional materials: www.superdatascience.com/476
David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work. In this episode you will learn: Intro to Dave on Data [6:50] 20% analytics that drives 80% of ROI [11:04] The benefits of SQL [19:15] The uses of R [24:50] Machine learning [34:15] Additional materials: www.superdatascience.com/475...
In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career. Additional materials: www.superdatascience.com/474
Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other. In this episode you will learn: Anima’s recent discovery of yoga [5:20] How does Anima balance her work? [12:25] Applications of Anima’s work [14:45] Tensors [22:55] Anima’s favorite NVIDIA projects [35:35] What tools does NVIDIA use? [41:55] CalTech interdisciplinary science [47:41] The path to generalized artificial in...
In this episode, I share a note I received from a student who expressed his thoughts on the learning that never stops as he goes through his data science career. Additional materials: www.superdatascience.com/472
Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job. In this episode you will learn: What has Kirill been up to? [3:48] The genesis of the 99-days challenge [5:27] 5 myths about pursuing a data science career [15:49] First data science jobs [1:00:53] 5 components for success [1:08:19] Additional materials: www.superdatascience.com/471...
In this episode, I follow up on the popular book recommendation portion of the podcast with my own list of favorite books. Additional materials: www.superdatascience.com/470
Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research. In this episode you will learn: Konrad’s academic background [3:54] Neuromatch Academy [5:23] Artificial general intelligence [35:02] Defining deep learning [41:24] Symbol representation [44:12] Konrad’s career journey [47:25] What other skills should you develop for the future? [52:46] What is the future of intelligence in our time...
In this episode, I tackle another historical topic: the history of data. Additional materials: www.superdatascience.com/468
Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will change the world for the better. In this episode you will learn: Catch up with Noah [2:50] Educational options to pursue in data science [13:09] Outside university education [24:06] Noah as a prolific author [28:15] Urgent applications of technology [37:34] Noah’s income streams color code [48:38] How to harness our free time to solve big problems [54:13] Noah’s Coursera course [1:09:12] Additional...
In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach. Additional materials: www.superdatascience.com/466
Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators can help your professional and personal development. In this episode you will learn: What does Konrad do [3:40] Tools and techniques used in Impakt Advisors [10:35] Impakt’s unique hiring model [18:53] How does Impakt manage remote work [21:36] Konrad’s professional history and daily structure [28:42] Konrad’s Iron Man triathlon [44:11] Konrad’s years’ long project on presidential biographies [47:...
In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are. Additional materials: www.superdatascience.com/464
Matt Dancho joins us to discuss his various packages for time series analysis and his courses on the topic through his company Business Science. In this episode you will learn: How Matt got into time series library development [4:22] Business Science [7:00] R Shiny [9:36] Matt’s 6 time series models [14:11] Timetk [15:02] Modeltime [29:32] Gluon package [36:04] Modeltime Ensemble [43:12] Modeltime H2O [45:22] Modeltime Resample [48:10] Additional materials: www.superdatascience.com/463...
In this episode, I discuss taking a positive approach to the good things that happen in life, rather than focusing on potential negative outcomes. Additional materials: www.superdatascience.com/462
Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry. In this episode you will learn: Catching up with Sam [3:05] Updates on the COVID-19 data pipelines [7:07] Sam’s current work at Arenko [10:41] Sam’s stint on Survivor, PhD, and his software engineering background [16:32] Machine learning in renewable energy [35:23] Sam’s day-to-day tools [49:33] How can listeners utilize MLOps [53:08]...
In this episode, I talk about the ancient history of algebra, an important component of data science today. Additional materials: www.superdatascience.com/460
Vince Petaccio joins us to discuss how he sees data science, ML, and AI making positive impacts in the fight against climate change. In this episode you will learn: Where in the world is Vince? [2:08] Vince’s interest in climate science [4:33] The Citizen’s Climate Lobby [9:12] Where data science comes in [13:28] Risks of relying on tools [31:54] How can you make an impact? [37:28] Additional materials: www.superdatascience.com/459...
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 non-data background [40:55] Tools and skills to know [47:57] Additional materials: www.superdatascien...
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 [34:19] What skills does one need for this field? [41:41] What would Horace do differently and what i...