Looking for a pragmatic understanding of machine learning? Neural networks? Deep learning? Dessa (https://www.dessa.com/) brings you the Production Level Deep Learning Meetup. This is not about research or academics, it's instead about getting your models into production. This is how we do things at Dessa--we want to develop ML for the real world.
At the Meetup, learn from Spark and ML experts that dig deep into the internals of Spark Core, Spark SQL, DataFrames, Spark Streaming, MLlib, Graph X, BlinkDB, TensorFlow, Tensorframes, Caffe, Theano, OpenDeep, DeepLearning4J and more.
More hands-on than your average Meetup or blog post, we'll explore and discuss best practices and idioms of the code base across many areas including: Spark's JVM Bytecode Generation, CPU-cache-aware Data Structures and Algorithms, Approximations, Probabilistic Data Structures, Shuffle and I/O Optimizations, Streaming Micro-batch Scheduling, Performance Tuning, Configuration, Monitoring, Auto-Scaling, etc.
And don't forget: WE'RE ALWAYS LOOKING FOR GREAT TALENT!
Dessa’s mission is to stretch the limits of what can be achieved with applied machine learning responsibly. We’re a diverse team of curious builders with headquarters in Toronto, the birthplace of deep learning’s present-day boom. Founded in 2016, we got our start building machine learning applications from the ground up for some of the world’s largest companies, in industries ranging from banking to telco. Since then, we have applied our experience building real-world AI to inform the development of our machine learning engineering product Foundations.