Lab Overview Support Vector Machines Decision Trees Dimensionality Reduction Analytics and Data Sciences The underpinnings of ML Big Data Introduction Pig & Pig Latin NoSQL HBase Sqoop Oozie DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics Spark Streaming Spark On Cluster Loading and Saving Data Spark Project - Log Parsing Graph Processing With Spark Introduction to ML Convolutional Neural Networks Artificial Neural Networks - MCQs Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Natural Language Processing - MCQs Reinforcement Learning Reinforcement Learning - MCQs Natural Language Processing Course Overview Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs Git Version Control (Basic to Advanced)