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Machine Learning Projects with Java (v)
Machine Learning Projects with Java (v)

Machine Learning Projects with Java (v): Build real-world projects and models, and train them via machine learning algorithms using Java

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Profile Icon Tomasz Lelek
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Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Mar 2019 2hrs 12mins 1st Edition
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Mex$2830.99
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Arrow left icon
Profile Icon Tomasz Lelek
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Mar 2019 2hrs 12mins 1st Edition
Video
Mex$2830.99
Subscription
Free Trial
Video
Mex$2830.99
Subscription
Free Trial

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Key benefits

  • Build machine learning projects using Java's extensive library support such as Weka, deeplearning4j, ND4J, and many more
  • A practical guide, with a strict focus on case implementations, to creating projects for each machine learning domain
  • Solve real-world problems with the help of machine learning with Java ML libraries

Description

Developers are worried about using various algorithms to solve different problems. This course is a perfect guide to identifying the best solution to efficiently build machine learning projects for different use cases to solve real-world problems. In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data. By the end of this course, you will have mastered each machine learning domain and will be able to build your own powerful projects at work. All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Machine-Learning-Projects-with-Java

Who is this book for?

This course is for Java developers who now want to extend their skillset in Machine Learning and would like to achieve this with ease using Java. This course will also appeal to someone who has a basic understanding of ML concepts but now wants to learn how to implement it with Java.

What you will learn

  • Perform classification using the Weka Library.
  • Implement Pattern Recognition of non-labeled data
  • Build Regression models for data with multiple features
  • Save trained models for further reusability
  • Learn how to perform cross-validation
  • Leverage Deep Learning in ML problems
  • Implement Natural Language Processing with Deep Learning

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 29, 2019
Length: 2hrs 12mins
Edition : 1st
Language : English
ISBN-13 : 9781789612455
Vendor :
Oracle
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

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Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Mar 29, 2019
Length: 2hrs 12mins
Edition : 1st
Language : English
ISBN-13 : 9781789612455
Vendor :
Oracle
Category :
Languages :
Tools :

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$199.99 billed annually
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Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
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Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just Mex$85 each
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Table of Contents

5 Chapters
Feature Extraction for Unstructured Textual News Feed Data Chevron down icon Chevron up icon
ML Classification for Pattern Recognition of Sensor Data Using Weka Library Chevron down icon Chevron up icon
Building Regression Model for Housing Market Chevron down icon Chevron up icon
Deep Learning for Predicting Gender Based on the Name Chevron down icon Chevron up icon
Finding Similarity of Words in a Book Using NLP with Deep Learning Chevron down icon Chevron up icon

Customer reviews

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N/A Jan 22, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Orrimo in contenuti e didattica
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