This question is really very indicative that the podcast host should have a team to review the questions before starting the podcast. If the aim is to "teach" newcomers to Data Science, then you really need an expert guide in Data Science.

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In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 279: Embedding Data Science in Business

How does your inner voice compare to your passions?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/290

SDS 290: The Passion Paradox

In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions,  the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/291

SDS 291: Changing the World With Theory & Data

How can you find a way to balance your energy through recharging in the way that works best for you?  

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/292

SDS 292: Introverts and Extroverts

In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/293

SDS 293: True Personalization Through Reinforcement Learning

In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295

SDS 295: A Deep Conversation About Tech & Life

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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.

SDS 279: Embedding Data Science in Business

Super Data Science: ML & AI Podcast with Jon Krohn

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