• Webinar: Using H2O Driverless AI for Cybersecurity

    *THIS IS A VIRTUAL EVENT* Registration Please follow this link to reserve your seat: https://www.h2o.ai/webinars/?commid=374408 Description: It is well-known that the Internet is the going to be the next battleground for everything to come. From misunderstandings, minor skirmishes, to fully-enabled state actors attacking governments. They are all positioned well to take advantage of: 1. The Cloak of the Internet 2. Remote attack locations 3. Asymmetry in impact 4. And an immense dependency of companies, people, governments, and every organization to be present on the internet. With this much at stake, the amount of resources that are poured into maintaining a secure network is remarkably low, and the job done by the people is nothing short of amazing. Unfortunately, this is limited in scale. And therefore, you need automated models. Automated-Machine-Learnt models do a tremendously quick and accurate job of detecting malicious behavior must faster, thereby averting any security violations. In this example, we will take datasets that should be vulnerable to potential attacks, and show how Driverless AI and the feature engineering capability can solve this problem. Presenter: Ashrith Barthur, Chief Security Scientist, H2O.ai

  • Balancing Business ROI and new Ideas in Machine Learning/Data Science

    Hello Makers! Following is a tentative agenda for the evening: Tentative Agenda: 6:15 pm - 6:45 pm: Arrivals, eat/drink and network 6:50 pm - 7:20: Overview on PyDatatable by Ana Castro 7:20 - 7:50: Snack That Data by Aman Mathur from SnackNation 7:50 - 8:40: Panel Discussion with experts from Industry and Academia Experts in the panel, - Haichun Chen (Industry - Netflix) - Dr. Gourab Mukherjee (Academia - USC) - Ryan Johnson (Industry - GoGurdian) - SnackNation participation (Industry) 8:40pm - 8:45pm: Surprise raffle 8:45pm - 9 pm: Networking Location: snacknation (https://www.snacknation.com) Courtesy: Dr. Kanad Basu (https://www.linkedin.com/in/kbasu2016/) Parking: Details coming soon. Collaborating partners: - snacknation (https://www.snacknation.com) - PyData Socal (https://www.meetup.com/PyData-SoCal/) - NUMFOCUS PyData (https://pydata.org/) Speaker Bios: Ana Castro Ana is a Data Science Evangelists for H2O.ai. Before H2O.ai, she worked as an Evangelist for Hortonworks(Cloudera). She holds a B.S. in Electrical Engineering and is currently pursuing a Master in Statistics with a concentration in Machine Learning at San Jose State University. When not at H2O.ai or school, she can be found in Fresno working with farmers to identify ML solutions for their agricultural challenges. Derek Chang Derek has spent 20 years building software and has more than a decade of management experience. Prior to joining the SnackNation team in 2018, he led engineering efforts for several major Web properties, including MySpace, eHow, Society6, and SaatchiArt. https://www.linkedin.com/in/derek-chang-67607a122/ Aman Mathur I have about 4+ years of industrial experience in Data Science and Analytics. I have worked on Machine learning problems in the domains of Insurance, Retail, and Healthcare. At SnackNation I am helping the departments in making data-driven decisions using predictive analytics. https://www.linkedin.com/in/aman-mathur-usc/ Haichun Chen I am managing Content Knowledge Graph team where we apply deep learning techniques in NLP and CV to curate the best knowledge about entities in the entertainment world, which in turn is used in content/talent discovery and acquisition. We leverage state-of-the-art models but also develop our own technology whenever necessary. Prior to Netflix, I led the data science team at Adobe Digital Marketing and prior to that, I worked as a machine learning engineer at Google. https://www.linkedin.com/in/haichun-chen-7a378b3/ Dr. Gourab MukherjeeI I am an Assistant Professor of Data Sciences and Operations at the University of Southern California's Marshall School of Business. I graduated from Stanford University with a Statistics Ph.D. in 2013. My research interests lie in statistical prediction analysis and have led to the development of new predictive density estimation methods and novel empirical Bayes perspectives. My research findings have provided theoretical support and new insights into predictive modeling techniques popularly used in the digital industries and health care research. https://www.marshall.usc.edu/personnel/gourab-mukherjee Ryan Johnson Ryan Johnson has been finding meaningful patterns in data for roughly 15 years. A two-time National Institutes of Health scientific awardee, Ryan earned his Ph.D. in neuroscience and then spent several years investigating MRI data from children with autism before eventually transitioning to private industry. Ryan has lead teams of analysts, data scientists, data engineers, and database managers to successfully derive value from data. He currently is Director of Science and Analytics at GoGuardian, an education-technology company in El Segundo. GoGuardian uses NLP, image recognition, and deep learning to help kids feel safe online. Ryan also advises start-ups on how to build effective data teams - balancing data, culture and strategic needs. https://www.linkedin.com/in/ryantjohnsonlinkedin/

  • Webinar: What's New in H2O Driverless AI

    Live Webinar

    *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!

    Live Webcast

    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

  • Workshop: Learning Machine Learning with Kaggle Grandmaster Dmitry Larko

    LA Makers, Kaggle Grandmaster Dmitry Larko has been very kind and has agreed to join for the next event to share his expertise in the field of Machine Learning/ Data Science with a hands-on workshop. So, don't miss out this awesome opportunity to learn. This event is being co-hosted by our friends with PyData SoCal. https://www.meetup.com/PyData-SoCal/events/261143646/ Bio: Dmitry Larko I have 15+ years of experience in the IT field. Started with data warehousing and BI, now in Big Data and Data science field. I love to use my machine learning and data science skills in Kaggle competitions. I am a Kaggle Grandmaster and Kaggle Top 100. Kaggle profile: https://www.kaggle.com/dmitrylarko Agenda: TBD

  • An Evening with Machine Learning Experts

    1314 Pacific Ave

    Hi Makers!, Thank you for submitting great entries to the call for papers! Following is a brief agenda for the evening: 6:30 - 6:45 PM - Doors open and pizza 6:50 pm - 7:30 pm - Best practices for building scalable Recommendation Systems by Vedant Dhandhania 7:30 pm - 7:50 pm - Introduction to building FAQ Chatbot by Bowen Chen 7:50 - 8:30: Predictive Modeling of Lapse Rates in Financial Services by Olaf and Tommy 8:30 pm - 9:00 pm - Networking 9 pm - Enjoy Venice Beach; hard stop 1. Topic: Best practices for building scalable Recommendation Systems Vedant Dhandhania, ReSci: Vedant has been focused on building large scale recommendation systems for over 200 businesses. His passion lies between the intersection of Signal Processing and Machine learning. Earlier, Vedant used to lead the Data science efforts at Retention Science where his team build out over 30 predictive ML models for more than 300M users. The ML models include recommenders, lead scoring, churn prediction, LTV/CLV, AB testing, Bandits, Reinforcement learning for marketing applications Linkedin: https://www.linkedin.com/in/vedantdhandhania/ 2. Topic: Introduction FAQ Chatbot (NLP) Bowen Chen, Fair.com: I would like to give a short talk about building a FAQ chatbot to discuss the reasons why data scientists need to think, act and build like engineers. In the talk, I planned to share a quick tutorial on how to leverage the power of existing AI platforms to build a useful solution that drives value with very little code written, in turn proving organizations do not need to build everything from scratch to make an impact. 3. Topic - Predictive Modeling of Lapse Rates in Financial Services: Statistical and Machine Learning approaches in theory and practice A. Tommy Steed: Director Of Analytics, Pacific Life https://www.linkedin.com/in/tommy-steed-fsa-04951541/ B. Olaf Menzer: Sr. Data Scientist, Pacific Life https://www.linkedin.com/in/olaf-menzer-00871184/ Other details: The format for the evening: We are trying to organize an evening with ML experts from different genres. So, that the audience could enjoy learning and sharing different ideas. Location: 1314 Pacific Ave, Venice, CA 90291 Directions: Enter the building through the back (alley) entrance via Park Row Alley. You can enter the event space through the two middle doors of the building.

  • H2O World 2019 San Francisco

    Hilton San Francisco Union Square

    Hello Makers! We're headed back home to host our first H2O World San Francisco! Join the greatest minds in AI and data science for this 2-day interactive event packed with deep-dive technical sessions, talks on real-world business use cases and a hands-on training. You'll discover the strategies and insights you need to optimize and transform your business and prepare for the wave of AI. H2O World San Francisco is a must-attend event whether you're a newbie getting your toes wet, or an H2O power user. You'll get to network with industry trailblazers and connect with your peers who are shaping the future of AI and machine learning. Following is the agenda for the conference: February 4, 2019 This day will be a hands-on training of our groundbreaking products, H2O Driverless AI, H2O-3 and Sparkling Water. Join your fellow data scientists, developers and engineers in this technical deep-dive of H2O. February 5, 2019 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 Women in Data Science and Inclusion and Meet the Kaggle Grandmasters. The day culminates with a reception including our infamous H2O themed cocktails, DJ and a book signing. Space is limited so be sure to register early to save your seat at the AI education destination of the year. Register here: world.h2o.ai To get a discounted ticket, please use discount code MEETUP50 on our general admission tickets to avail a 50% discount! Note: RSVP'ing on this meetup page doesn't account for your ticket to H2O World 2018. Please visit the official website at world.h2o.ai and save a spot!

  • Webinar: Automated Machine Learning for Data Practitioners and BI Analysts

    Please visit here to grab yourself a free spot: https://www.brighttalk.com/webcast/16463/345642 This webinar gently introduces H2O Driverless AI tool to Data Scientists at all levels. BI Analysts who are on the path to be a Data Scientist would also find this tool very useful. Discussion of a business problem will be followed by a quick demo. Without writing a single line of code, we will build a production deployable AI model. Learn things like choosing a Target Variable, a Scorer, and also how to play with the Accuracy, Time and Interpretability to build a model. The webinar will also explore on how to interpret complex non-linear models with simple visuals that can be used to communicate to a business or regulators easily. About Karthik Guruswamy: Karthik is a “business first” data scientist. His expertise and passion have always been around building game-changing solutions - by using an eclectic combination of algorithms, drawn from different domains. He has published 50+ blogs on “all things data science” in Linked-in, Forbes and Medium publishing platforms over the years for the business audience and speaks in vendor data science conferences. He also holds multiple patents around Desktop Virtualization, Ad networks and was a co-founding member of two startups in silicon valley.