Speaker "Chanchal Chatterjee" Details Back



Real-time Adaptive Machine Learning Algorithms with Python


The workshop offers adaptive algorithms to solve many real-world streaming data problems.  It step by step introduces each category of problems starting from simple to more complex real-time data processing for machine learning and analysis. At each step you will gain insights into real-world use cases, find solutions, explore code used to solve these problems, and find ways to create new algorithms for your use cases, if different.
The workshop starts with a common framework to derive adaptive algorithms, then uses the framework for each category of streaming data problem starting with adaptive median to complex principal components and discriminant analysis. By the end of the workshop, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and derive new algorithms for your use cases. If you have high volume time-varying data with high dimensionality in a low compute, low latency environment, this workshop will give you solutions you need.


Chanchal Chatterjee, Ph.D, held several leadership roles in machine learning, deep learning and real-time analytics. He is currently leading Machine Learning and Artificial Intelligence at Google Cloud Platform. Previously, he was the Chief Architect of EMC CTO Office where he led end-to-end deep learning and machine learning solutions for data centers, smart buildings and smart manufacturing for leading customers. Chanchal received several awards including Outstanding paper award from IEEE Neural Network Council for adaptive learning algorithms recommended by MIT professor Marvin Minsky. Chanchal founded two tech startups between 2008-2013. Chanchal has 29 granted or pending patents, and over 30 publications. Chanchal also has a book titled Adaptive ML algorithms with Python. Chanchal received M.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University.