ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

ODSC - Open Data Science

JUNE 8, 2023

Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

Data Science 52

Data Science Machine Learning NLP Software Engineer 52

ODSC - Open Data Science

FEBRUARY 22, 2024

Andre Franca | CTO | connectedFlow Join this session to demystify the world of Causal AI, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. By the end, you will be ready to harness the platform for advanced spatial analysis and the development of sophisticated AI models.

Machine Learning 52

Machine Learning Data Science Python ML 52

The MLOps Blog

FEBRUARY 27, 2025

A StereoSet prompt might be: “The software engineer was explaining the algorithm. Suppose your LLM is heavily biased toward stereotypical associations, like assuming “software engineer” is male. How to integrate transparency, accountability, and explainability? Lets get into it!

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LLM Large Language Models Explainability Machine Learning 64

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Truera offers capabilities such as model debugging, explainability, and fairness assessment to gain insights into model behavior and identify potential issues or biases. Learn more from the documentation.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

AUGUST 1, 2024

Collaboratio n: Working with data scientists, software engineers, and other stakeholders to integrate Deep Learning solutions into existing systems. Deployment: Converting prototypes into production-ready models and setting up the necessary infrastructure for deployment.

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Deep Learning Neural Network Machine Learning Natural Language Processing 52

Marktechpost

JUNE 28, 2024

Notable AI Agent Projects Several innovative projects exemplify the capabilities and potential of AI agents: SWE-Agent: Developed by researchers at Princeton University, SWE-Agent transforms large models (like GPT-4) into software engineering agents capable of resolving issues in real GitHub repositories.

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Software Engineer Software Development Automation Explainable AI 109

ODSC - Open Data Science

DECEMBER 27, 2024

Robert Brennan, co-founder and CEO of All Hands AI, is at the forefront of this movement. His open-source project, OpenHands , aims to empower developers by automating tedious tasks, enhancing productivity, and reimagining the role of the software engineer. Robert is quick to reassure that this is far from the truth.

Software Development 52

Software Development Software Engineer AI AI 52

ODSC - Open Data Science

OCTOBER 3, 2024

Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes Merve Alanyali, PhD | Head of Data Science Research and Academic Partnerships | Allianz Personal Explainable AI (XAI) is one of the hottest topics among AI researchers and practitioners.

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Large Language Models Machine Learning Data Scientist LLM 40