- H2O World 2019 NYC
Hello Makers! H2O World is back in the Big Apple! H2O World New York 2019 is an interactive community event featuring advancements in AI, machine learning and explainable AI. Thousands of attendees from around the world watch sessions from the makers behind H2O.ai, leading academics, and our customer community. Attendees discover the strategies and insights they need to accelerate their AI journey. The conference will feature talks and technical sessions from all walks of our community: Makers, Industry Leaders, Data Scientists, Kaggle Grandmasters, and machine learning enthusiasts alike. We have a number of panels to fill your data science appetite including Diversity and Inclusion in Tech, and Meet the Kaggle Grandmasters. The day culminates with a reception including our infamous H2O themed cocktails. Join us to connect with the community and learn how to harness the full value of AI, machine learning, explainable AI, deep learning and data science from industry-recognized speakers. Click here to register: https://www.h2o.ai/h2oworldnewyork
- AI/ML in Finance + Breaking Gender/Diversity Barriers Panel
***Please register on this eventbrite: https://www.eventbrite.com/e/aiml-in-finance-breaking-genderdiversity-barriers-panel-tickets-70685950581 Your RSVP on the meetup page will not count as an RSVP to the event. 6:00 - 6:30PM: Doors open for networking, drinks and appetizers 6:30 - 7:30PM: Breaking Gender/Diversity Barriers Panel moderated by Ingrid Burton, H2O.ai 7:30 – 9:00PM: H2O Driverless AI Hands On Lab by Michelle Tanco, H2O.ai (please bring your laptop and power chord) 10:00PM - Event Ends Panelist Bio's: Erin Ledell is the Chief Machine Learning Scientist at H2O.ai. Erin has a Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on automatic machine learning, ensemble machine learning and statistical computing. She also holds a B.S. and M.A. in Mathematics. Before joining H2O.ai, she was the Principal Data Scientist at Wise.io (acquired by GE Digital in 2016) and Marvin Mobile Security (acquired by Veracode in 2012), and the founder of DataScientific, Inc. Yimei Guo (Global Head of Investment Research Technology at Morgan Stanley) Strategic and result-driven technology executive with extensive experience in Investment Research, Global Capital Markets, CRM, Content Management, and Intranet and Internet Sites and Digital Marketing. Led highly motivated global development teams that solve complex problems with a wide range of technologies: Big Data, Machine Learning, NLP, Web, Desktop and Mobile. Built strategic partnerships with business to deliver solutions, driving business results. Strong track record of delivering innovative products. Josie Williams is currently a research assistant at NYU Medical Center working with a team to implement machine learning into healthcare with the goal to create technology that can predict chronic kidney disease more than two years in advance. Her particular role deals with algorithmic fairness and ensuring universal accuracy for all demographic subgroups. Josie also previously worked as the Engineering Lead at Draft.Fish, where she managed a team of developers and assisted in programming a time management application called Robin, which is now in its beta phase. [Full bio on EB page] Lili Gil Valletta is a recognized cultural intelligence® expert, World Economic Forum Young Global Leader and an award-winning entrepreneur. After a successful corporate career including a 10-year tenure at Johnson & Johnson, where she pioneered various cross-cultural marketing strategies and co-founded the Hispanic business resource group “HOLA”, Lili co-founded CIEN+ and CulturIntel. Her firm, based in New York City with offices throughout the U.S., Colombia and Mexico, offers big-data analytics, business consulting and marketing strategies for companies to successfully turn cultural trends into innovation and profits.[Full bio on EB page] Ingrid Burton is CMO at H2O.ai, the open source leader in AI. She has several decades of experience leading global marketing teams to build brands, create demand, and engage and grow communities. She also serves as an independent director on the Aerohive board. Prior to H2O.ai she was CMO at Hortonworks, where she drove a brand and marketing transformation, and created ecosystem programs that positioned the company for growth. At SAP she co-created the Cloud strategy, led SAP HANA and Analytics marketing, and drove developer outreach. [Full bio on EB page] Hands On Lab Speaker Michelle Tanco is a Customer Solutions Engineer & Data Scientist for H2O.ai. Prior to H2O she worked as a Senior Data Science Consultant for Teradata, focused on leading analytics projects to solve cross-industry business problems. Her background is in pure math and computer science and she is passionate about applying these skills to answer real-world questions. When not coding or thinking of analytics, Michelle can be found hanging out with her dog or playing the ukulele.
- Webinar: What's New in H2O Driverless AI
*THIS IS A VIRTUAL EVENT* Registration Please follow this link to reserve your seat: https://www.h2o.ai/webinars/?commid=365344 Description H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. In this webinar we'll highlight what's new in Driverless AI. Presenter: Arno Candel, CTO at H2O.ai
- Live From New York City, it's H2O.ai!
Hello Makers! H2O.ai will be announcing exciting news from New York City on Tuesday, August 20, 2019 and we will love for you to be a part of this celebration. Save your spot at the live webcast by visiting this link: https://www.h2o.ai/livefromnyc/ Stay tuned for more, see you shortly!
- Webinar: How to Make a Recipe with H2O Driverless AI
*THIS IS A VIRTUAL EVENT* Registration Please follow this link to reserve your seat: https://www.h2o.ai/webinars/?commid=364997 Description H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. We're excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. In this webinar we'll demonstrate how make a recipe with Driverless AI. Presenter: Michelle Tanco, H2O.ai
- Webinar: The 5 Key AI Takeaways for Today's C-Suite
*THIS IS A VIRTUAL EVENT* Registration Please follow this link to reserve your seat: https://www.h2o.ai/webinars/?commid=362992 Description This discussion will explore real-world examples and how to democratize AI in your organization. 1. Build a Data science culture 2. Ask the right questions 3. Connect to the community 4. Technology considerations 5. Trust in AI Presenters: Ingrid Burton, H2O.ai & Vinod Iyengar, H2O.ai
- Webinar: Extending the H2O Driverless AI Platform with Your Recipes
*THIS IS A VIRTUAL EVENT, THERE WILL BE NO MEETUP AT 2307 LEGHORN IN MOUNTAIN VIEW ON 6/26/19* Registration Please follow this link to reserve your seat: https://www.h2o.ai/webinars/?commid=360533 Description 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. Now domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. During this webinar we'll demonstrate how easy it is to write a new recipe for feature transformation or use a third party algorithm to extend Driverless AI. Speaker's bio Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators. Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
- Machine Learning w/ Graph Algorithms + Cypher for Apache Spark
This event is part of GlobalGraphCelebrationDay.com and is hosted by our friends at Neo4j. To get into the graph, RSVP: https://neo4j.typeform.com/to/USb6It?event=nyc This event is in partnership with: Neo4j NYC - https://www.meetup.com/nycneo4j/ Women in Machine Learning and Data Science: https://www.meetup.com/NYC-Women-in-Machine-Learning-Data-Science/ H2O.ai & NYC Big Data Science: https://www.meetup.com/NYC-Big-Data-Science/ Metis: NY Data Science: https://www.meetup.com/Metis-New-York-Data-Science/ --------------- Talk 1: Graph analytics with Cypher for Apache Spark --------------- Cypher for Apache Spark allows users to construct, query, and analyze graphs directly within their Spark environments, as well as to bring those graphs into Neo4j for more advanced analysis. With Cypher becoming an officially supported part of Apache Spark 3.0, Martin Junhganns, one of the senior developers of Cypher for Apache Spark, will speak about how to create and manage graphs in you data lake, as well as how to bring those graphs into Neo4j for native graph functionality. Speaker: Martin Junghanns is part of the Cypher for Apache Spark Engineering team at Neo4j. He has a research background in distributed graph analytics, his main interests are query engines, graph algorithms and bringing graph querying into the world of Apache Spark. Martin holds a MSc Computer Science degree from the University of Leipzig. --------------- Talk 2: Using graphs to build more accurate machine learning models --------------- Graph data structures allow data scientists to leverage predictive features from relationships and network structures in powerful ways. Alicia Frame, a Senior Data Scientist at Neo4j, will walk through concrete examples of how to leverage the graph structure of your existing data, as well as how to use graph algorithms to add highly predictive features to machine learning models. Speaker: Alicia Frame is the Senior Data Scientist on Neo4j's Product team, where she is responsible for algorithm development and strategy. She earned a PhD in computational biology from the University of North Carolina at Chapel Hill and a BS in biology and mathematics from the College of William and Mary in Virginia, and has over 8 years experience in enterprise data science at BenevolentAI, Dow, and the EPA.
- Time-Series Machine Learning with Sri Ambati, CEO H2O.ai & Jeffry Borror & More!
Morgan Stanley Global Headquarters
- Getting Your Feet Wet with Driverless AI
Hello Makers! Join us this evening to discuss automatic machine learning for the enterprise. Following is a brief agenda for the evening: 6 - 6:30 PM - Doors open and pizza 6:30 - 7:30 PM - Tom's Talk 7:30 - 7:45 PM - Q&A and Networking Description: H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment. We will be discussing the latest in Driverless AI, as follows: Model Diagnostics Standalone Java Scoring Pipeline One click model deployment Interpretability for Time-Series Capability Local Feature Brain FTRL Models & New Algorithms Model Retraining & Checkpointing AutoViz Tom’s Bio: Thomas Ott is a Senior Customer Solutions Engineer for H2O.ai. He started his career in Engineering working for large transportation firms around the USA before transitioning to the startup world in 2014. He comes to H2O.ai from his own Data Science consultancy and RapidMiner. A gritty and seasoned Sales Engineer, he worked across Product Marketing and Community Development and learned how to solve complex customer problems. He's a natural born tinkerer that loves figuring things out and getting it done.