MLB Player Digital Engagement Forecasting
October 29, 2021 Kaggle Machine LearningAre you a baseball fan? If so, you may notice that things are heating up right now as the Major League Baseball (MLB) World Series between Houston Astros and Atlanta Braves tied at 1-1. MLB Postseason 2021 Results as of October 28 (source) This also reminded me of the MLB Player Digital Engagement Forecasting competition […]
What it takes to become a World No 1 on Kaggle
May 3, 2021 Data Science Kaggle Machine Learning MakersIn conversation with Guanshuo Xu: A Data Scientist, Kaggle Competitions Grandmaster, and a Ph.D. in Electrical Engineering. In this series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. The intention behind these interviews is to motivate and encourage others who want […]
Grandmaster Series: The inspiring journey of the ‘Beluga’ of Kaggle World 🐋
December 14, 2020 Kaggle Machine LearningIn conversation with Gábor Fodor: A Data Scientist at H2O.ai and a Kaggle Competitions’ Grandmaster. In this series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. These interviews are intended to motivate and encourage others who want to understand what it takes […]
Mitos e verdades sobre o AutoML
November 10, 2020 AutoML Beginners Business Community Machine LearningTodas as revoluções que tivemos até hoje, tanto as tecnológicas quanto industriais, possuem uma semelhança: elas estão ligadas à forma como os seres humanos lidam com as máquinas. Antes, os processos eram feitos de forma muito manual e, com o tempo, acabaram sofrendo uma evolução natural voltada para a automação. Com o aprendizado de máquinas […]
Maximizing your Value from AI
November 9, 2020 Business Community Machine Learning PartnersSome organizations have already identified the benefits that can be gained from Artificial Intelligence and Data Science, bringing in talented resources to enable them to build AI models and solutions. But more often than not, the business doesn’t understand the capabilities and huge potential of AI well enough, nor the investments that are required in […]
Building an AI Aware Organization
October 26, 2020 Business Explainable AI Machine Learning Machine Learning Interpretability Responsible AIResponsible AI is paramount when we think about models that impact humans, either directly or indirectly. All the models that are making decisions about people, be that about creditworthiness, insurance claims, HR functions, and even self-driving cars, have a huge impact on humans. We recently hosted James Orton, Parul Pandey, and Sudalai Rajkumar for a […]
Making AI a Reality
October 16, 2020 Business Machine Learning Machine Learning InterpretabilityThis blog post focuses on the content discussed in more depth in the free ebook “Practical Advice for Making AI Part of Your Company’s Future”. Do you want to make AI a part of your company? You can’t just mandate AI. But you can lead by example. All too often, especially in companies new to […]
The Challenges and Benefits of AutoML
October 14, 2020 AutoML H2O Driverless AI Machine Learning Responsible AIMachine Learning and Artificial Intelligence have revolutionized how organizations are utilizing their data. AutoML or Automatic Machine Learning automates and improves the end-to-end data science process. This includes everything from cleaning the data, engineering features, tuning the model, explaining the model, and deploying it into production. AutoML accelerates your AI initiatives and can help make […]
Empowering Snowflake Users with AI using SQL
October 12, 2020 Community Machine Learning Partners Technical TutorialsAt H2O.ai we work with many enterprise customers, all the way from Fortune 500 giants to small startups. What we heard from all these customers as they embark on their data science and machine learning journey is the need to capture and manage more data cost-effectively, and the ability to share that data across their […]
3 Ways to Ensure Responsible AI Tools are Effective
October 7, 2020 Explainable AI H2O Driverless AI Machine Learning Machine Learning Interpretability Responsible AISince we began our journey making tools for explainable AI (XAI) in late 2016, we’ve learned many lessons, and often the hard way. Through headlines, we’ve seen others grapple with the difficulties of deploying AI systems too. Whether it’s: a healthcare resource allocation system that likely discriminated against millions of black people data privacy violations […]