Downloaded 11 times
More Related Content
Similar to ISV Showcase: End-to-end Machine Learning using H2O on Azure
More from Microsoft Tech Community
ISV Showcase: End-to-end Machine Learning using H2O on Azure
- 3. AI to Do Good. DemocratizeAI for Everyone. H2O is the open leader in AI.
- 4. H2O.ai at aGlance Founded 2012 - Series C in November 2017 Products • H2O Open Source Machine Learning (Enterprise Support) • Driverless AI – Automated Machine Learning • Sparkling Water What we do The Open Leader in AI Team ~100 employees • Distributed Systems Engineers doing Machine Learning • World-class visualization designers • 5 of the top World’s Kaggle Grandmasters Global Mountain View, London, Prague, India, Japan, New Zealand
- 5. • H2O.ai recognizedas a technology leader with most completeness of vision • H2O.ai was recognized for the mindshare, partner network and status as a quasi-industry standard for machine learning and AI. • H2O.ai customers gave the highest overall score among all the vendors for sales relationship and account management, customer support (onboarding, troubleshooting, etc.) and overall service and support.
- 6. CONFIDENTIAL Open 12,622 Companies usingH2O.ai 155,000 H2O.ai Users
- 7. CONFIDENTIAL Financial InsuranceData Companies HW Vendors Retail Advisory& Accounting Healthcare “H2O.ai's reference customers gave it the highest overall score for sales relationship and overall service and support” - Gartner MQ 2018 CONFIDENTIAL
- 8. CONFIDENTIAL 8 Wholesale / CommercialBanking • Know Your Customers (KYC) • Anti-Money Laundering (AML) Card/Payments Business • Transaction Frauds • Collusion Fraud • Real-time Targeting • Credit Risk Scoring • In-Context Promotion Retail Banking • Deposit Fraud • Customer Churn Prediction • Auto-Loan IT Infrastructure • Security Cyberlake • DoS Detection and Protection • Master Data Management
- 9. CONFIDENTIAL 9 Flu Season Prediction Personalized Drug Matching MedicalClaim Fraud Detection Emergency Room and Hospital Management Drug Discovery Remote Patient Monitoring Early Cancer Detection / Oncology Medical Imaging and Diagnostics Product Recommendation
- 10. CONFIDENTIAL 1 0 Predictive Maintenance • BatteryFailure • Resilient networks Enhanced Offerings • Personalized program recommendations • Intelligent Ad placements • In-Context Promotion Customer Service • Avoidable Truck-roll • Customer Churn Prediction • Improved customer viewing experience (TV) IT Infrastructure • Security Cyberlake • DoS Detection and Protection • Master Data Management
- 11. In-Memory, Distributed Machine LearningAlgorithms with H2O Flow GUI H2O AI Open Source Engine Integration with Spark Lightning Fast machine learning on GPUs Automatic feature engineering, machine learning and interpretability • 100% open source – Apache V2 licensed • Built for data scientists – interface using R, Python on H2O Flow (interactive notebook interface) • We offer Enterprise Support subscriptions • Commercial Licensed (closed source) • Built for domain users, analysts & data scientists – GUI based interface for end-to-end data science • Fully automated machine learning from ingest to deployment • We offer user licenses on a per seat basis (annual subscription)
- 12. • 100% opensource – Apache V2 licensed • Built for data scientists – interface using R, Python on H2O Flow (interactive notebook interface) • We offer Enterprise Support subscriptions • Fully automated machine learning from ingest to deployment • We offer user licenses on a per seat basis (annual subscription)
- 13. • 100% opensource – Apache V2 licensed • Built for data scientists – interface using R, Python on H2O Flow (interactive notebook interface) • We offer Enterprise Support subscriptions • Fully automated machine learning from ingest to deployment • We offer user licenses on a per seat basis (annual subscription)
- 14. HDFS S3 NFS Distributed In-Memory Load Data Loss-less Compression H2O ComputeEngine Production Scoring Environment Exploratory & Descriptive Analysis Feature Engineering & Selection Supervised & Unsupervised Modeling Model Evaluation & Selection Predict Data & Model Storage Model Export: Model Object, Optimized Your Imagination Model Export: Plain Old Java Object Local SQL
- 15. Supervised Learning • GeneralizedLinear Models: Binomial, Gaussian, Gamma, Poisson and Tweedie • Naïve Bayes Statistical Analysis Ensembles • Distributed Random Forest: Classification or regression models • Gradient Boosting Machine: Produces an ensemble of decision trees with increasing refined approximations Deep Neural Networks • Deep learning: Create multi-layer feed forward neural networks starting with an input layer followed by multiple layers of nonlinear transformations Unsupervised Learning • K-means: Partitions observations into k clusters/groups of the same spatial size. Automatically detect optimal k Clustering Dimensionality Reduction • Principal Component Analysis: Linearly transforms correlated variables to independent components • Generalized Low Rank Models: extend the idea of PCA to handle arbitrary data consisting of numerical, Boolean, categorical, and missing data Anomaly Detection • Autoencoders: Find outliers using a nonlinear dimensionality reduction using deep learning
- 16. High Level Architecture •Enable all capabilities of H2O on top of Spark • H2O code executes directly in the Spark Executor JVM • Spark RDDs and H2O Frames share the same memory space. Data can freely transfer between Spark and H2O without any overhead.
- 17. High Level Architecture •Enable all capabilities of H2O on top of Spark • H2O code executes directly in the Spark Executor JVM • Spark RDDs and H2O Frames share the same memory space. Data can freely transfer between Spark and H2O without any overhead.
- 18.
- 19.
- 20.
- 21. Deep Learning, GBM,GLM, DRF, Kmeans, GLRM, PCA, Ensembles
- 23. • To getstarted on H2O from the Azure marketplace, click here • To learn more: check out our documentation site • To learn more about Sparkling Water, check out the documentation and booklet. • Blog: Developing & Operationalizing H2O models on Azure • Blog post on using H2O on HDInsight
Editor's Notes
- #7 6
- #9 Gartner Predicts 2017: According to the report, “by 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the artificial intelligence economy with disruptive business solutions.”
- #10 Gartner Predicts 2017: According to the report, “by 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the artificial intelligence economy with disruptive business solutions.”
- #11 Gartner Predicts 2017: According to the report, “by 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the artificial intelligence economy with disruptive business solutions.”
- #15 14