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Learn core machine learning techniques using H2O, including linear models, random forests, GBMs, and deep learning. Evaluate and choose optimal models for your data and business constraints.
Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.
Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.
Discover how to build, deploy, and scale AI solutions using H2O Cloud's comprehensive suite of services for tabular data, NLP, computer vision, and AI-assisted development.
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 the H2O GenAI ecosystem through hands-on training in LLM optimization, model evaluation, and AI app development. Build custom GPT models, create web applications, and deploy practical AI solutions.
Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.
Master deep learning without coding - build computer vision, NLP, and audio models using H2O Hydrogen Torch. Learn dataset handling, model tuning, and real-world applications through hands-on experimentation.
Master H2O Wave fundamentals to build and deploy browser-based AI applications using Python, from environment setup to creating interactive apps and integrating with H2O GPTe for enhanced user interactions.
Dive into foundational concepts of Large Language Models, exploring neural networks, transformer architecture, and practical applications while mastering pre-training and fine-tuning techniques.
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.
Master advanced H2O ai Generative AI tools and techniques, from creating custom h2oGPT models to evaluating performance metrics, enhancing your AI workflow capabilities for real business applications.
Master enterprise AI with H2O GPTe, covering AI-powered search, RAG techniques, Python API integration, and web application development for transforming organizational data strategies.
Master the fundamentals and advanced concepts of Large Language Models through hands-on training with H2O.ai tools, from basic NLP principles to sophisticated fine-tuning techniques.
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