Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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676: The Chinchilla Scaling Laws
Publicat: 05.05.2023 -
675: Pandas for Data Analysis and Visualization
Publicat: 02.05.2023 -
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)
Publicat: 28.04.2023 -
673: Taipy, the open-source Python application builder
Publicat: 25.04.2023 -
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0
Publicat: 21.04.2023 -
671: Cloud Machine Learning
Publicat: 18.04.2023 -
670: LLaMA: GPT-3 performance, 10x smaller
Publicat: 14.04.2023 -
669: Streaming, reactive, real-time machine learning
Publicat: 11.04.2023 -
668: GPT-4: Apocalyptic stepping stone?
Publicat: 07.04.2023 -
667: Harnessing GPT-4 for your Commercial Advantage
Publicat: 04.04.2023 -
666: GPT-4
Publicat: 31.03.2023 -
665: How to be both socially impactful and financially successful in your data career
Publicat: 28.03.2023 -
664: MIT Study: ChatGPT Dramatically Increases Productivity
Publicat: 24.03.2023 -
663: Astonishing CICERO negotiates and builds trust with humans using natural language
Publicat: 21.03.2023 -
662: The Most Popular SuperDataScience Podcast Episodes of 2022
Publicat: 17.03.2023 -
661: Designing Machine Learning Systems
Publicat: 14.03.2023 -
660: Five Ways to Use ChatGPT for Data Science
Publicat: 10.03.2023 -
659: Open-Source Tools for Natural Language Processing
Publicat: 07.03.2023 -
658: How to Build Data and ML Products Users Love
Publicat: 03.03.2023 -
657: How to Learn Data Engineering
Publicat: 28.02.2023
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.
