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Learn Model Optimization, earn certificates with free online courses from Stanford, MIT, Johns Hopkins, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Python & TensorFlow: The Roadmap to Deep Machine Learning Expertise
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Master automated machine learning with H2O Driverless AI through hands-on training in data preprocessing, model development, and advanced features like custom recipe creation and hyperparameter tuning.
Master advanced LLM techniques through data preparation, fine-tuning, and model optimization. Learn QnA dataset creation, quantization, and LoRA while using H2O LLM Studio for practical NLP applications.
Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.
Discover how to set up a model for finite element analysis, run the analysis, and interpret the results to optimize your SOLIDWORKS models.
Learn about various optimization and tuning options available for deep learning models and use them to improve models.
Learn the basics of TinyML, the field of machine learning that enables ML applications to run on handheld and IoT devices.
Transform your 2D architectural drawings into three-dimensional models optimized for 3D printing, with AutoCAD.
Explore PyTorch's latest advancements in AI research and production, including distributed training, model optimization, and deployment using MLFlow, with insights on scaling and efficiency.
Automating and scaling ML model tuning using Hyperopt and Apache Spark. Best practices for workflows, architecture, and optimization in hyperparameter tuning for improved performance and accuracy.
Explore Databricks Labs' AutoML Toolkit for automating feature engineering, model selection, tuning, and deployment. Learn to accelerate machine learning workflows and enhance productivity.
Explore how Databricks Labs AutoML Toolkit simplifies and optimizes machine learning processes, from data preparation to model optimization, using financial loan risk data examples.
Explore Flock, an end-to-end platform leveraging MLflow to automate and simplify enterprise-grade machine learning, enhancing data scientist productivity and addressing regulatory challenges in ML adoption.
Explore EfficientNetV2's improved image classification performance, including progressive training, Fused-MBConv layer, and novel reward function for Neural Architecture Search.
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