Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How math and AI can be made easy to understand [05:21]
• The three major categories of learners [16:21]
• Why embeddings are the most important component of LLMs [26:19]
• How semantic search differs from a traditional keyword search [29:57]
• The most exciting emerging application areas for AI [42:41]
• The promising application areas for Quantum Machine Learning [49:18]

Additional materials: www.superdatascience.com/785

The Super Data Science Podcast: Machine Learning | AI | Success

785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano

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.

785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano

Super Data Science: ML & AI Podcast with Jon Krohn