Amazon SageMaker for MLOps
Explore automated machine learning with Amazon SageMaker, covering AutoML for model training and deployment to AWS endpoints.
MLOps on Google Vertex AI: Enhancing Machine Learning Workflows
Explore Google's Vertex AI suite to enhance MLOps efficiency and management in machine learning workflows, focusing on its comprehensive capabilities.
Democratizing AI - Vector Databases and LLM Applications
Explore vector databases, LLM app building, and AI democratization with Yujian Tang. Learn about Milvus, production use cases, data challenges, and the future of AI technologies.
Predibase: A Low-Code Deep Learning Platform Built for Scale
Explore Predibase: a low-code deep learning platform combining large-scale ML with state-of-the-art architectures for NLP, computer vision, and tabular data, built on Ludwig and Ray for scalable, end-to-end solutions.
Taking Control of Edge AI Projects - Tools and Automation
Explore the need for improved tools and automation in edge AI projects, featuring insights on SensiML's Piccolo AI™ open-source suite for TinyML development.
Unlock Data and AI Potential with a Fully Orchestrated Health Lakehouse
Explore how a modern healthcare data lakehouse integrates diverse data sources, leveraging AI and orchestration for improved patient care, risk management, and clinical decision support.
Your First Data Science Project: Planning for Success
Learn effective project management techniques for data science, covering agile and waterfall methodologies, autoML, model monitoring, and data drift to ensure successful implementation of data-driven initiatives.
Deep AutoViML for TensorFlow Models and MLOps Workflows
Explore Deep AutoViML for building powerful TensorFlow models and MLOps workflows. Learn to fast prototype data pipelines and models using TF 2.4+ and Keras preprocessing layers.
Neural Architecture Search - Part I
Explore neural architecture search techniques, focusing on automated design of efficient deep learning models for various applications.
Neural Architecture Search - Part I (EfficientML.ai) - Lecture 7
Explore neural architecture search techniques for optimizing deep learning models, covering fundamentals, methods, and applications in AI efficiency.
Neural Architecture Search Part I - Lecture 7
Explore neural architecture search techniques for optimizing deep learning models, covering fundamental concepts and cutting-edge approaches in AI efficiency.
Neural Architecture Search Part I - Lecture 7
Explore neural architecture search techniques for optimizing deep learning models, focusing on automated design and efficiency in AI systems.
Brain Disorders and Quantum Computing for Neuroradiologists
Explore quantum computing's potential in neuroradiology, focusing on AI applications for brain MRI analysis and the benefits of hybrid quantum systems for processing large datasets in medical imaging.
AutoML for Natural Language Processing - EACL 2013 Tutorial
Explore AutoML techniques for NLP, covering hyperparameter optimization and neural architecture search to improve model-building rigor and efficiency.