Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

Buy
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services.


Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data.


After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java.

What You Will Learn
  • Identify, organize, and architect the data required for ML projects
  • Deploy ML solutions in conjunction with cloud providers such as Google and Amazon
  • Determine which algorithm is the most appropriate for a specific ML problem
  • Implement Java ML solutions on Android mobile devices
  • Create Java ML solutions to work with sensor data
  • Build Java streaming based solutions
Who This Book Is For


Experienced Java developers who have not implemented machine learning techniques before.
(HTML tags aren't allowed.)

Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks
Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Leverage the power of Java and deep learning to build production-grade Computer Vision applications

Key Features

  • Build real-world Computer Vision applications using the power of neural networks
  • Implement image classification, object detection, and face recognition
  • ...
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Java EE 8 and Angular: A practical guide to building modern single-page applications with Angular and Java EE
Java EE 8 and Angular: A practical guide to building modern single-page applications with Angular and Java EE

Learn how to build high-performing enterprise applications using Java EE powered by Angular at the frontend

Key Features

  • Leverage Java EE 8 features to build robust back end for your enterprise applications
  • Use Angular to build a single page frontend and combine it with...
Developing Middleware in Java EE 8: Build robust middleware solutions using the latest technologies and trends
Developing Middleware in Java EE 8: Build robust middleware solutions using the latest technologies and trends

Use Java features such as JAX-RS, EJBs, and JPAs to build powerful middleware for newer architectures such as the cloud

Key Features

  • Explore EJBs to build middleware solutions for enterprise and distributed applications
  • Understand middleware designs such as event-based and...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy