CPB102: Machine Learning with CloudML Training

Course details

Overview
This 8-hour instructor led course builds upon CPB100 and CPB101 (which are prerequisites). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn machine learning and Tensorflow concepts and develop hands-on skills in developing, evaluating, and productionizing machine learning models.
This class is intended for programmers and data scientists responsible for developing predictive analytics using machine learning.  The typical audience member has experience analyzing and visualizing big data, implementing cloud-based big data solutions, and transforming/processing datasets.
Objectives
Understand what kinds of problems machine learning can address
Build a machine learning model using TensorFlow
Build scalable, deployable ML models using Cloud ML
Know the importance of preprocessing and combining features
Incorporate advanced ML concepts into their models
Invoke and customize ML APIs
Productionize trained ML model Updated on 17 October, 2017