Apache Spark for machine learning and data science
Joseph Kambourakis (Databricks)
Joseph Kambourakis walks you through using Apache Spark to perform exploratory data analysis (EDA), developing machine learning pipelines, and using the APIs and algorithms available in the Spark MLlib DataFrames API.
Cloudera big data architecture workshop
Bruce Martin (Cloudera)
Bruce Martin leads you through designing and architecting solutions to a challenging business problem. You'll explore big data application architecture concepts in general and then apply them to the design of a challenging system.
Machine Learning & Data Science
Machine learning with TensorFlow
Dana Mastropole (The Data Incubator)
Dana Mastropole and Michael Li demonstrate TensorFlow's capabilities through its Python interface and explore TFLearn, a high-level deep learning library built on TensorFlow. Join in to learn how to use TFLearn and TensorFlow to build machine learning models on real-world data.
Big data and the Cloud, Stream processing and analytics
Architecture, Cloud, Streaming
Real-time systems with Spark Streaming and Kafka
Jesse Anderson (Big Data Institute)
To handle real-time big data, you need to solve two difficult problems: how do you ingest that much data and how will you process that much data? Jesse Anderson explores the latest real-time frameworks (both open source and managed cloud services), discusses the leading cloud providers, and explains how to choose the right one for your company.