Super Data Science: ML & AI Podcast with Jon Krohn

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 t...

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 opt...

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...

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 d...

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...

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.superdatascien...

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 ot...

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] Ho...

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 [28:4...

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...

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 learnin...

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 mate...