Super Data Science Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success

Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.

In this episode you will learn:
• How Humu leverages data and machine learning to improve workplace behaviors [10:38]
• What is data engineering? [14:21]
• What it takes to get promoted into more senior data science roles [20:55]
• The differences between junior, senior, and staff data scientists [30:21]
• Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08]
• Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10]
• Why all data scientists should be interested in Web3 [1:11:53]

Additional materials: www.superdatascience.com/587

In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work.

Additional materials: www.superdatascience.com/586

In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.

In this episode you will learn:
• What Bayesian statistics is [7:30]
• Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]
• How PyMC was developed [20:41]
• Commercial applications of Bayesian stats [43:07]
• How to build a successful company culture [1:03:14]
• What Thomas looks for when hiring [1:11:13]
• Thomas’s top resources for learning Bayesian stats yourself [1:13:57]

Additional materials: www.superdatascience.com/585

In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work.

Additional materials: www.superdatascience.com/584

In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.

In this episode you will learn:
• The evolution of NLP techniques over the past decade [4:14]
• What's next in the coming iron age of NLP [35:33]
• Rongyao’s Bauhaus-inspired model for effective data science [43:12]
• Rongyao's long-term career pathfinding framework [51:50]
• Rongyao’s top tips for staying sane while juggling career and family [1:00:30]

Additional materials: www.superdatascience.com/583

In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.

Additional materials: www.superdatascience.com/582