Machine Learning Applications & Landscape

Building end-to-end Machine Learning Project

Training Models

Support Vector Machines

Decision Trees

Ensemble Learning and Random Forests

Dimensionality Reduction

Introduction to Artificial Neural Networks

Convolutional Neural Networks

Natural Language Processing

Reinforcement Learning

Introduction to Hadoop

Foundation & Environment

Zookeeper

HDFS

YARN

MapReduce Basics

MapReduce Advanced

Analyzing Data with Pig

Processing Data with Hive

NoSQL and HBase

Importing Data with Sqoop and Flume, Oozie

Introduction to Spark

Scala Basics

Spark Basics

Writing and Deploying Spark Applications

Common Patterns in Spark Data Processing

Data Formats & Management

DataFrames and Spark SQL

Machine Learning with Spark

Classification

Training Deep Neural Networks

Custom Models and Training with Tensorflow

Loading and Preprocessing Data with TensorFlow

Recurrent Neural Networks

Autoencoders and GANs