Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.

This episode is brought to you by Posit, the open-source data science company (https://posit.co), by Anaconda, the world's most popular Python distribution (superdatascience.com/anaconda), and by https://WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Generative modeling vs discriminative modeling [04:21]
• Generative AI for Music [13:12]
• On the threats of AI [23:15]
• Autoencoders Explained [38:36]
• Noise in Generative AI [48:11]
• What CLIP models are (Contrastive Language-Image Pre-training) [54:07]
• What World Models are [1:00:40]
• What a Transformer is [1:11:14]
• How to use transformers for music generation [1:19:50]

Additional materials: www.superdatascience.com/687

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

687: Generative Deep Learning, with David Foster

Kemi Nelson is a dedicated entrepreneur with a wealth of experience in the role of a data and analytics executive within corporate environments. Currently residing in Texas, Kemi most recently held the position of Director of Strategy and Business Architecture for Property and Casualty insurance (P&C) at USAA. Prior to this, she served as a Data Decision Science Analytics Leader at a prominent Financial Services Bank. With a natural affinity for leadership, Kemi Nelson is deeply committed to fostering business expansion. Her reputation shines brightly within her professional circles, and she consistently strives to motivate and empower individuals across the board.

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Among Kemi Nelson's earlier professional roles was her tenure as an Operations Analysis Manager at Capital One in Plano, Texas. In this capacity, Kemi Nelson expertly led a small team, responsible for devising strategy, analyzing financial data, and managing incentives. In a brief span, Kemi Nelson introduced novel programs and enhancements to streamline team operations, resulting in enhanced revenue and performance outcomes. This trajectory persists in her subsequent roles. During her tenure at GE Capital Americas, she garnered multiple Above and Beyond accolades along with numerous certifications, solidifying her reputation as a resolute leader driving outcomes and facilitating her teams' comprehension of pivotal business data.

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Beyond her flourishing professional journey, Kemi Nelson relishes quality time with her family and actively engages in community service. She has provided financial guidance to local schools, volunteered for New Hearts of Texas retreats, and embarked on the establishment of ChampRISER International, her own initiative designed to prepare students and parents for the college admissions process. Through this venture, Kemi Nelson and her team facilitate access to higher education, ensuring that more students realize their full potential by finding the perfect educational fit.

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.

687: Generative Deep Learning, with David Foster

Super Data Science: ML & AI Podcast with Jon Krohn