Deep Learning Episodes

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Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models shares insights about what makes GPT-3 unique, the transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limitations, whether scaling models is the path to &ldquo;Artificial General Intelligence&rdquo;, and more.

GPT-3 and our AI-Powered Future

https://www.datacamp.com/blog/gpt-3-and-our-ai-powered-future

In this episode, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo, on the importance of data quality and how data observability creates trust in data throughout the organization.

Creating Trust in Data with Data Observability

https://www.datacamp.com/community/blog/creating-trust-in-data-with-data-observability

Hugo speaks with Taras Gorishnyy, a Senior Analytics Manager at McKinsey and Head of Data Science at QuantumBlack, a McKinsey company, about what it takes to change organizations through data science.

Data Science at McKinsey

https://www.datacamp.com/community/blog/data-science-mckinsey

How does Jared Lander, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference, &nbsp;think about community building in data science &amp; &nbsp;creating safe and welcoming spaces for budding and practicing data scientists of all ilk?

Data Science for Everyone

https://www.datacamp.com/community/blog/data-science-everyone-transcript

Paige Bailey, senior Cloud Developer Advocate at Microsoft, reports from the frontier of cloud-based data science technologies.

Data Science in the Cloud

https://www.datacamp.com/community/blog/data-science-cloud-transcript

Anthony Goldbloom, CEO of Kaggle, speaks with Hugo about Kaggle, data science communities, reproducible data science, machine learning competitions and the future of data science in the cloud.

Kaggle and the Future of Data Science

Will the future of data science and machine learning be automated? Which verticals will experience the largest disruption? What will the role of data science become?

Automated Machine Learning

The modern superpower of deep learning and where it has the largest impact, past, present and future, filtered through the lens of Michelle Gill's work at NVIDIA.

Deep Learning at NVIDIA

Explore &nbsp;the role of data science in modern biology and the power of deep learning in today's rapidly evolving data science landscape with Sebastian Raschka and Hugo.

Biology and Deep Learning

How can data science and deep learning be leveraged to detect fake news? Come on a journey with Mike Tamir, Head of Data Science at Uber ATG, who is building out a data science product that classifies text as news, editorial, satire, hate speech and fake news, among others.

Fake News Detection with Data Science

In this episode, Hugo speaks with Hilary Mason about the past, present, and future of data science.&nbsp;

Data Science, Past, Present and Future REVALIDATE

https://www.datacamp.com/community/blog/data-science-past-present-future