arno candel
Top 10 Deep Learning Tips & Tricks - KDnuggets
Dr. Arno Candel is Chief Architect at H2O.ai. He is considered one of the leading deep learning experts. He has over a decade of experience in high-performance computing. In past he has designed and implemented high-performance machine learning algorithms. Arno was named 2014 Big Data All-Star by Fortune Magazine.
Machine Learning for IT
Driverless AI is H2O.ai's latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and production deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code (Java and C), and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, which are some of the hardest challenges in data science. Other industry-leading capabilities include automatic data visualization and machine learning interpretability. We're now excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe.
Keeping the Big Picture In Sight at H2O World
H2O.ai CEO Sri Ambati at H2O World February 5, 2019 SriSatish Ambati, the CEO of H2O.ai, had just taken the stage at H2O World in San Francisco yesterday morning. His keynote had barely begun, but Ambati clearly had something to get off his chest. "Time is the only non-renewable source," he said. "Our time is not coming back to us. You could say that Ambati has made quite a bit of his time up to this point. In addition to authoring the H2O machine learning library and co-founding H2O.ai (initially called 0xdata), he co-founded the big data analytics company Platfora. His professional career also took him to Datastax, Azul Systems, and RightOrder, while his academic career involved stops at Stanford, Purdue, and Berkeley, where he studied theoretical neuroscience. In his time at H2O.ai, Ambati has made a big mark. The core of the operation is the open source H2O software itself, a package of supervised and unsupervised machine learning algorithms, such as K-means clustering, random ...
H2O Deep Learning Webinar by Arno Candel
H2O is Google-scale open source machine learning engine for R & Big Data. This live webinar introduces Distributed Deep Learning concepts, implementation and results from recent developments. Real world classification & regression use cases from eBay text dataset, MNIST handwritten digits and Cancer datasets will present the power of this game changing technology.