Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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676: The Chinchilla Scaling Laws
Publisert: 5.5.2023 -
675: Pandas for Data Analysis and Visualization
Publisert: 2.5.2023 -
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)
Publisert: 28.4.2023 -
673: Taipy, the open-source Python application builder
Publisert: 25.4.2023 -
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0
Publisert: 21.4.2023 -
671: Cloud Machine Learning
Publisert: 18.4.2023 -
670: LLaMA: GPT-3 performance, 10x smaller
Publisert: 14.4.2023 -
669: Streaming, reactive, real-time machine learning
Publisert: 11.4.2023 -
668: GPT-4: Apocalyptic stepping stone?
Publisert: 7.4.2023 -
667: Harnessing GPT-4 for your Commercial Advantage
Publisert: 4.4.2023 -
666: GPT-4
Publisert: 31.3.2023 -
665: How to be both socially impactful and financially successful in your data career
Publisert: 28.3.2023 -
664: MIT Study: ChatGPT Dramatically Increases Productivity
Publisert: 24.3.2023 -
663: Astonishing CICERO negotiates and builds trust with humans using natural language
Publisert: 21.3.2023 -
662: The Most Popular SuperDataScience Podcast Episodes of 2022
Publisert: 17.3.2023 -
661: Designing Machine Learning Systems
Publisert: 14.3.2023 -
660: Five Ways to Use ChatGPT for Data Science
Publisert: 10.3.2023 -
659: Open-Source Tools for Natural Language Processing
Publisert: 7.3.2023 -
658: How to Build Data and ML Products Users Love
Publisert: 3.3.2023 -
657: How to Learn Data Engineering
Publisert: 28.2.2023
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.
