Search results Search for: Search Refine your results by duration: Any Under 5 mins Under 20 mins Over 20 mins Sort by: Relevance Views Date Productionizing Apache Spark™ MLlib Models for Real-time Prediction Serving Joseph Bradley and Sue Ann Hong Data science and machine learning tools traditionally focus on training models. When companies begin to employ machine learning in actual production ... 5 years ago | 52 mins Apache® Spark™ MLlib: From Quick Start to Scikit-Learn Joseph Bradley In this webcast, Joseph Bradley from Databricks will be speaking about Apache Spark’s distributed Machine Learning Library - MLlib. We will start off... 6 years ago | 59 mins Apache® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models Richard Garris and Jules S. Damji Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced m... 5 years ago | 61 mins Databricks' Data Pipelines: Journey and Lessons Learned Burak Yavuz With components like Spark SQL, MLlib, and Streaming, Spark is a unified engine for building data applications. In this talk, we will take a look at h... 6 years ago | 58 mins Apache® Spark™ MLlib 2.x: Migrating ML Workloads to DataFrames Joseph K. Bradley and Jules S. Damji In the Apache® Spark™ 2.x releases, Machine Learning (ML) is focusing on DataFrame-based APIs. This webinar is aimed at helping users take full advant... 6 years ago | 61 mins The Role of FPGAs in SparK Accelerators Shreyas Shah, Principal Data center Architect, Xilinx In the cloud computing era, data growth is exponential. Every day billions of photos are shared and large amount of new data created in multiple forma... 6 years ago | 61 mins Transitioning from Traditional DW to Apache® Spark™ in OR Predictive Modeling Ayad Shammout, Denny Lee The prevailing issue when working with Operating Room (OR) scheduling within a hospital setting is that it is difficult to schedule and predict availa... 7 years ago | 61 mins Build, Scale, and Deploy Deep Learning Pipelines with Ease Sue Ann Hong, Tim Hunter and Jules S. Damji Deep Learning has shown a tremendous success, yet it often requires a lot of effort to leverage its power. Existing Deep Learning frameworks require w... 5 years ago | 62 mins How to Increase Data Science Agility at Scale with Databricks Maddie Schults Apache® Spark™ has become an indispensable tool for data science teams. Its performance and flexibility enables data scientists to do everything from ... 5 years ago | 51 mins
