Machine Learning Workshop 2: Machine Learning Model Comparison & Evaluation

Presented by

Ted Dunning PhD, Chief Application Architect - MapR Technologies

About this talk

In this addition of our machine learning webinar series we will be building on the ideas of the key requirements for effective management of machine learning logistics presented in the Overview webinar and in Part I Workshop, we will: - Dive into what model evaluation really can and should be - Talk about how the rendezvous architecture makes evaluation more effective and also easier Watch this webinar to hear Ted cover multi-model comparison, how rendezvous helps you handle metrics, and how it provides query-by-query comparison. A key issue for real world success that is often overlooked by data scientists is latency and system reliability. Conversely, accuracy is often difficult for SysOps team members to address. The rendezvous approach has a built-in way to include latency and accuracy as systematic parts of evaluation, thus addressing key concern of all parts of a DataOps team. Finally, hear Ted discuss how the containerization of models and system components in a rendezvous architecture makes security auditing easier.

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Data is changing the world. Data is everywhere. Digital and business transformations are underway to harness the power of data. We believe that data is now a company’s most important asset. Businesses must use all data, while being nimble and agile to create new opportunities, products and services. A new generation of intelligent and modern apps are characterized by using data of all types, many processing engines, and being able to do analytics and applications, together, as the data happens. Last gen and even newer technologies cannot meet these new data demands. A unique and groundbreaking approach is needed which combines essential new technologies with one platform for all data that creates a data fabric for companies to build great new products. MapR Data Technologies, a visionary Silicon Valley based enterprise software company, has pioneered one platform for all data in every cloud. This approach is the industry’s first modern data system. At the core is the MapR Converged Data Platform that enables simultaneous analytics and applications as data happens so companies can create new, intelligent and modern apps to outperform the competition.