Upcoming webinars and video records of our past events, how you can evaluate your ML model, how to build ML pipeline, using activation functions in DL models, monitoring Time Series model, DragGAN, BloombergGPT, HuaTuo, SAM, reproducible DL course, and more.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, 3D generation on ImageNet, universal guidance for diffusion models, CompressGPT, FriendlyCore, S-NeRF, QA4RE, and more.
Learn about the Databricks Lakehouse Platform, unifying data lakes and warehouses for reliable, governed, and flexible data solutions.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, CompressGPT, FriendlyCore, 3D generation on ImageNet, guidance for diffusion models, S-NeRF, QA4RE, and more.
School of Business, Woxsen University in collaboration with University of St. Thomas, MN, USA is organizing 3rd International Conference on Artificial Intelligence and Knowledge Processing - AIKP'23 (Scopus Indexed Conference) on 6th to 8th October 2023.
The talk will introduce XGBoost, and provide examples of evaluation metrics for ML models in fraud and risk-scoring applications.
The ESGentle team is throwing a big party this Saturday. They're inviting all environmental enthusiasts, climate tech entrepreneurs, AI experts, and investors to join them in the Earth Day celebration and explore the intersection of artificial intelligence and climate change.
The talk will introduce XGBoost and demonstrate how efficient machine learning models can automatically detect fraud cases depending on the data used.
In this talk, you will learn the theory behind GNNs, and look closely at the types of problems for which GNNs are well suited.
At dstack, our vision is to build an open-source platform for ML teams to train models and collaborate on data and models. We are currently seeking a backend engineer to join our team and assist in building the core of our platform.
You will learn about Ultralytics YOLOv8, how it works, how it compares to previous YOLO models and more.
On the webinar, we will talk about GNNs and the types of problems that GNNs are well-suited for. We will also discuss several approaches for modeling unstructured problems as classification or regression at various levels and more.