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In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41

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

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

As a human, we can often understand the mood, intention, and future action of another person just by looking at them. We see their posture, their facial expression, where their eyes are focused, and we can get a decent understanding of what they might do next. The problem of computer vision for body language is a much harder problem to solve, but we are indeed making progress. Our guest this week is Paul Kruszewski, an computer science PhD who's spent nearly the last 20 years focused on 3D modeling and artificial intelligence. Today, he's CEO of Wrnch, a Montreal-based AI company focused on reading and understanding human body language. Paul explains how advances in 3D modeling and computer vision have allowed researchers to get machines to "understand" the posture, movements, and intentions of human being - and he also helps explore the future applications that this technology might have in security, retail, sports, and more. For more interviews on the applications of AI in business, visit: https://TechEmergence.com

Computer Vision for Body Language - How it Works and How it Could be Used

In order to shed more light on the growing applications of natural language processing, we speak with Vlad Sejnoha (CTO of Nuance Communications) about the current and near-term applications of NLP for voice and text across industries. In this podcast interview, Vlad breaks down real-world NLP use-cases in industries like banking, healthcare, automotive, and customer service. For the full article of this episode, visit:  TechEmergence.com/natural-language-processing-current-applications-and-future-possibilities

Natural Language Processing - Current Applications and Future Possibilities

Episode summary: In this week's interview on the AI in Industry podcast, we speak with Amir Konigsberg, the CEO of Twiggle, about the future of product search - and how eCommerce and retail brands can use natural language processing (NLP) to improve their user experience. Amir explains some of the factors that make eCommerce product search challenging, and the artificial intelligence approaches that can improve it today and within the next five years. Interested readers can learn more about present and future use-cases for artificial intelligence applications in retail in our full article on that topic. You can listen to the full interview with Amir Konigsberg from Twiggle here:  https://www.techemergence.com/nlp-for-ecommerce-search-current-challenges-and-future-potential

NLP for eCommerce Search - Current Challenges and Future Potential

In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215

SDS 215: Integrating Data Science as a Developer

In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223

SDS 223: Data Science Trends for 2019

What great books can you suggest for others to read this year?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/224

SDS 224: Hacks For Reading More Books

In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between data scientist and data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/231

SDS 231: Data Visualizers: The Storytellers of Data Science

In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/245

SDS 245: Knowing What You Need to Know With Data Science

How will you prepare yourself for imperfection going forward? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/246

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Ponnusundar M