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Super Data Science: ML & AI Podcast with Jon Krohn — Business
Super Data Science: ML & AI Podcast with Jon Krohn

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there’s an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you’re curious about getting started in a data career or you’re a deep technical expert, whether you’d like to understand what A.I. is or you’d like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Copyright: © 2024 Super Data Science: ML & AI Podcast with Jon Krohn

Latest Episodes:

266: Exploration vs Exploitation May 31, 2019

Show notes

Where are you overexploiting patterns in your life and where can you be more open to some exploration?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266

265: Data Science in the World of Big Data May 29, 2019

Show notes

In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265

264: Data Science in Agriculture May 24, 2019

Show notes

How do you see data science continuing to improve the world’s most important industry?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/264

263: Communicating Data May 22, 2019

Show notes

In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, and what venture capital funds are. Yu will also hear where data science is going and whether or not data science should be a certified profession.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/263

262: You Cannot Make Progress Without a Routine May 17, 2019

Show notes

How can you put a routine on a goal you’re trying to achieve?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/262

261: Succeeding in Data Science with the Trichotomy of Control May 15, 2019

Show notes

In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/261

260: Data Science in Real Estate May 10, 2019

Show notes

How can we, as data scientists, scale the existing technologies in real estate?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/260

259: Building Machine Autonomy With Neural Networks May 08, 2019

Show notes

In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/259

258: Eating S.L.O.W.L.Y. May 03, 2019

Show notes

How can you work S.L.O.W.L.Y. into your daily routine?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/258

257: AI: How Far We Haven’t Actually Come May 01, 2019

Show notes

In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/257

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