Spark comes up with 80 high-level operators for interactive querying. It was donated to Apache software foundation in , and now Apache Spark has become a top level Apache project from Feb Kuna Sparkil on oma klastrihalduse arvutus, kasutab ta Hadoopi ainult ladustamise eesmärgil.
With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments.
You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering Online Trading System Project Java real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach.
Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes Online Trading System Project Java deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems.
What you will learn Master deep learning and neural network architectures Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs Train ML agents to learn from data using deep reinforcement learning Use factorization machines for advanced movie recommendations Train DL models on distributed GPUs for faster deep learning with Spark and DL4J Ease your learning experience through 69 FAQs Who this book is forIf you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need!
Get ready to build advanced deep learning models to carry out complex numerical computations.
Some basic understanding of machine learning concepts and a working knowledge of Java are required.