Search results Search for: Search Refine your results by duration: Any Under 5 mins Under 20 mins Over 20 mins Sort by: Relevance Views Date The Fastest way to Train & Optimize Large Scale Machine Learning Models Hoang Phan, HPE AI Solution Engineering; Chun Sun, HPE Product Manager; Andrew Taylor, NVIDIA Alliance Manager at HPE Time is precious. As data scientists and developers, you are tasked with accelerating time to production but doing so with lower cost. Sound like an... August 18, 2022 3:00pm Towards Predictive Accuracy: Tuning Hyperparameters and Pipelines Mark Fenner, Author of Machine Learning with Python for Everyone; Mark Pavletich, Domino Data Lab Models are at the heart of data science. Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment i... 3 years ago | 66 mins Challenges Transitioning Machine Learning from Prototyping to Production Grade Santi Adavani, Co-Founder of RocketML The artificial intelligence revolution is being enabled by the rapid increase in data, computing power in the cloud, and hardware accelerators like GP... 4 years ago | 64 mins Productionalizing H2O Driverless AI Models Nicholas Png, H2O.ai Training a good machine learning model is an extremely difficult process. Good data science practitioners must first determine if the data they have i... 3 years ago | 57 mins How Expert Data Science Teams Use AutoML to Increase Scalability and Efficiency Travis Couture, Solutions Engineer at H2O.ai AutoML is helping lower the barrier to entry and accelerate the time it takes to build and deploy machine learning models. H2O's Driverless AI and Ope... 2 years ago | 61 mins Fairness in AI and Machine Learning Navdeep Gill, H2O.ai This webinar introduces methods that can uncover discrimination in your data and predictive models, including the adverse impact ratio (AIR), false po... 3 years ago | 48 mins Deep Learning for Biotechnology on Qubole Matt Der, Chief Technology Officer, Notch.io In the biological sciences, hypothesis-driven experiments and bottom-up design experiments rely on predicting what will happen with new cells and mole... 5 years ago | 38 mins A Data Science Playbook for Explainable ML/AI Domino Chief Data Scientist Josh Poduska, and VP of Marketing Jon Rooney Navigating Predictive and Interpretable Models Model ethics, interpretability, and trust will be seminal issues in data science in the coming decade.... 3 years ago | 78 mins Deep Learning 101 Ravi Panchumarthy, Big Data Systems Engineer & Andres Rodriguez, Deep Learning Solutions Architect at Intel In this webinar we discuss various DL applications and the optimized Intel DL environment including hardware, software, and tools. Ravi and Andres wil... 6 years ago | 53 mins Email Text Classification: Building an End to End Data Product Sasha Mushovic, Data Scientist, Return Path Sasha will tell the story of building an end-to-end data product that feeds various parts of the Return Path business to optimize email programs for m... 4 years ago | 38 mins
