Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to… Read More »DSC Webinar Series: Developing and Testing Shiny Apps
R, along with Python, is the most popular language among enterprise data scientists. The R ecosystem includes thousands of packages for statistical analysis and machine… Read More »DSC Webinar Series: Migrating R Applications to the Cloud using Databricks
Presenting Koalas, a new open source project unveiled by Databricks, that brings the simplicity of pandas to the scalability powers of Apache Spark™. Data science… Read More »DSC Webinar Series: From Pandas to Apache Spark™
In this latest Data Science Central webinar, we will cover the principles for training your neural network including activation and loss functions, batch sizes, data… Read More »DSC Webinar Series: Deep Learning – Training your Neural Network
Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced machine… Read More »DSC Webinar Series: Apache® Spark™ MLlib 2.x: Productionize your Machine Learning Models
Spark is recognized as a great analytics engine. One of its benefits is its inclusion of machine learning algorithms that can group, predict, classify and… Read More »DSC Webinar Series: Apache Spark and IBM Streams Working Together in Streaming Analytics
