The course starts with an introduction to machine learning, while covering deep learning and machine learning basics.
With emphasis on practical solutions, dedicated sections in the course will help you to apply supervised and unsupervised learning techniques to real-world problems.
With this course, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently.
Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this course will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights.
This course aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.