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How This AI Tool Breathes New Life Into Data Science
How This AI Tool Breathes New Life Into Data Science
by Saurabh Kumar October 16, 2018 Beginners Data Journalism Data Science Deep Learning Driverless Explainable AI GPU H2O Driverless AI Machine Learning NLP Python R Technical

Ask any data scientist in your workplace. Any Data Science Supervised Learning ML/AI project will go through many steps and iterations before it can be put in production. Starting with the question of “Are we solving for a regression or classification problem?” Data Collection & Curation Are there Outliers? What is the Distribution? What do […]

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What does NVIDIA’s Rapids platform mean for the Data Science community?
What does NVIDIA’s Rapids platform mean for the Data Science community?
by Saurabh Kumar October 10, 2018 Community Data Science GPU H2O Driverless AI H2O4GPU Machine Learning XGBoost

Today NVIDIA announced the launch of the RAPIDS suite of software libraries to enables GPU acceleration for data science workflows and we’re excited to partner with NVIDIA to bring GPU accelerated open source technology for the machine learning and AI community. “Machine learning is transforming businesses and NVIDIA GPUs are speeding them up. With the support of the open […]

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Automatic Feature Engineering for Text Analytics – The Latest Addition to Our Kaggle Grandmasters’ Recipes
by Web Inertia September 12, 2018 Data Science GPU H2O Driverless AI NLP

According to Kaggle’s ‘The State of Machine Learning and Data Science’ survey, text data is the second most used data type at work for data scientists. There are a lot of interesting text analytics applications like sentiment prediction, product categorization, document classification and so on. In the latest version (1.3) of our Driverless AI platform, […]

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H2O4GPU now available in R
by Erin LeDell March 27, 2018 GPU R

In September, H2O.ai released a new open source software project for GPU machine learning called H2O4GPU. The initial release (blog post here) included a Python module with a scikit-learn compatible API, which allows it to be used as a drop-in replacement for scikit-learn with support for GPUs on selected (and ever-growing) algorithms. We are proud […]

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Kmeans on h204gpu
H2O4GPU Hands-On Lab (Video) + Updates
by Web Inertia December 23, 2017 GPU H2O4GPU

Deep learning algorithms have benefited significantly from the recent performance gains of GPUs. However, it has been uncertain whether GPUs can speed up powerful classical machine learning algorithms such as generalized linear modeling, random forests, gradient boosting machines, clustering, and singular value decomposition. Today I’d love to share another interesting presentation from #H2OWorld focused on […]

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Gradient Linear Model (GLM)
H2O.ai Releases H2O4GPU, the Fastest Collection of GPU Algorithms on the Market, to Expedite Machine Learning in Python
by Avni Wadhwa September 26, 2017 GBM GLM GPU k-Means

H2O4GPU is an open-source collection of GPU solvers created by H2O.ai. It builds on the easy-to-use scikit-learn Python API and its well-tested CPU-based algorithms. It can be used as a drop-in replacement for scikit-learn with support for GPUs on selected (and ever-growing) algorithms. H2O4GPU inherits all the existing scikit-learn algorithms and falls back to CPU […]

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Driverless Ai Blog Featured
Driverless AI Blog
by Avni Wadhwa July 13, 2017 AutoML Driverless GPU

In today’s market, there aren’t enough data scientists to satisfy the growing demand for people in the field. With many companies moving towards automating processes across their businesses (everything from HR to Marketing), companies are forced to compete for the best data science talent to meet their needs. A report by McKinsey says that based […]

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All data stays on GPU
H2O announces GPU Open Analytics Initiative with MapD & Continuum
by Vinod Iyengar May 8, 2017 Community GPU Technical Technical Posts

H2O.ai, Continuum Analytics, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs. GOAI will foster the development of a data science ecosystem on GPUs by allowing resident applications to interchange data seamlessly and efficiently. […]

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Machine Learning on GPUs
by Arno Candel May 8, 2017 GPU

With H2O GPU Edition, H2O.ai seeks to build the fastest artificial intelligence (AI) platform on GPUs. While deep learning has recently taken advantage of the tremendous performance boost provided by GPUs, many machine learning algorithms can benefit from the efficient fine-grained parallelism and high throughput of GPUs. Importantly, GPUs allow one to complete training and […]

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The Race for Intelligence: How AI is Eating Hardware – Towards an AI-defined hardware world
The Race for Intelligence: How AI is Eating Hardware – Towards an AI-defined hardware world
by Sri Ambati May 8, 2017 GPU

With the AI arms race reaching a fever pitch, every data-driven company is (or at least should be) evaluating its approach to AI as a means to make their owned datasets as powerful as they can possibly be. In fact, any business that’s not currently thinking about how AI can transform its operations risks falling […]

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