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#datascience

108 Beiträge87 Beteiligte12 Beiträge heute
Antwortete datatofu
datatofu

The main objective of #xai in #healthcare is to improve AI-enabled clinical DSS adoption by increasing transparency. Hence, it enables system developers to validate the decision-making process, identify pitfalls, and improve model performance. Additionally, through building reliable and effective models, it supplies providers as end-users with evidence for each prediction and enables novel biomarker exploration.

datatofu.wordpress.com

Tags: #ai #linux #tech #rstats #python #datascience

Digestible Data Analytics (DDA)Digestible Data Analytics (DDA)Serving you digestible big data analysis and analytics systems.
Technology Tales

Discover alternatives to the popular Python library Pandas for data science workflows! While Pandas is user-friendly, it can struggle with large datasets due to high memory consumption and lack of native parallelisation support. Explore Dask, Polars, and PyArrow as powerful alternatives that offer faster and more efficient data processing, catering to big data needs with parallel computing and better data interchange. #DataScience #Python #DataScienceTools #BigData kdnuggets.com/python-tooling-b

Technology Tales

Mastering Bash shell commands can greatly simplify tasks in data science, boosting efficiency and productivity. Discover the 10 essential Bash commands for data scientists, from file management with `ls` to data manipulation using `awk` and `sed`. Enhance your workflow and focus on insights with these powerful tools. #DataScience #BashShell #Programming #Efficiency #TechTips kdnuggets.com/10-essential-bas

Uni Stuttgart IRIS

We cordially invite all interested parties at the Universität Stuttgart to our IRIS Colloquium on March 26, at 2 p.m., in Room 101 at Universitätsstr. 32.
🟦
Mara Seyfert will give her lecture, „Uncertainty and robustness against persuasion in large language models.“
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Today's large language models (LLMs) excel at providing convincing answers across a broad spectrum of inquiries, with their conversational capabilities enabling them to closely align with users' needs. However, this adaptability is beneficial only to the extent as models remain robust to adopting wrong statements from user inputs.
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Recent research demonstrates that even advanced models like GPT-4 can shift from initially correct answers to incorrect ones during multi-turn conversations solely due to user input. In my talk, I will present my research exploring how uncertainty in LLMs can provide insights into their robustness against persuasion while highlighting the specific challenges of quantifying uncertainty in these models.
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The lecture is held in English. Registration is not necessary.
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#LargeLanguageModels #AI #GPT #GPT4 #robustnessagainstpersuasion #AIResearch #MachineLearning #LLMs #ArtificialIntelligence #TechTalk #RobustAI #DataScience #AIethics #Innovation

Technology Tales

Explore the transformative role of AI agents and autonomous systems across industries such as customer support, finance, and gaming. Discover the key knowledge areas for data scientists, from agent architectures to reinforcement learning. Stay updated as AI agents advance in autonomy and adaptability, pushing the boundaries of data-driven solutions. #DataScience #AIAgents #AutonomousSystems #ReinforcementLearning kdnuggets.com/what-data-scient

NHS-R Community

We (NHS-R Community Team) are seeking volunteers to host/co-host webinars and/or workshops throughout the year. This is a fantastic opportunity to share your knowledge and skills whilst building a community of practice for data analysis and data science using open source software.

If you would like to volunteer or recommend someone within your network to contact, please email the NHS-R Community inbox (nhs.rcommunity@nhs.net).

#NHSr#RStats#DataScience
Antwortete datatofu
datatofu

The differences in #xai models are reflected in the model operations. For example, the two primary categories of XAI that apply to #healthcare are the intrinsic and post-hoc models. The intrinsic, model-based interpretability implies an interpretable model through structure and component adjustment. The post-hoc model aims to provide an explanation by analyzing the trained model and an additional one.

datatofu.wordpress.com

Tags: #ai #linux #python #tech #rstats #datascience #opensource

Digestible Data Analytics (DDA)Digestible Data Analytics (DDA)Serving you digestible big data analysis and analytics systems.
*
kazé

Dear LazyWeb: is there a C/C++, #RustLang or #Zig equivalent of #SciPy’s `stats` module for statistical analysis? Namely:
• a collection of common PDFs (probability density functions);
• MLE (maximum likelihood estimation) for these common distributions;
• KDE (kernel density estimation).

SciPy’s API is a pleasure to work with. Anything that comes close but usable from C/C++/Rust/Zig would make my life so much easier. Boosts appreciated for visibility.

#statistics#probability#DataScience
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