Book Image

Machine Learning Projects with Java [Video]

By : Tomasz Lelek
5 (1)
Book Image

Machine Learning Projects with Java [Video]

5 (1)
By: Tomasz Lelek

Overview of this book

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

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Machine Learning Projects with Java [Video]
Tomasz Lelek
Mar, 2019 | 2 hours 12 minutes
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Table of Contents (5 chapters)
Free Chapter
1
Feature Extraction for Unstructured Textual News Feed Data
The Course Overview
Performing Feature Engineering
Leveraging ND4J Library Input Vectors and Matrices
Extracting INDArray Features
Applying Scalar Transformations to Features Vectors
2
ML Classification for Pattern Recognition of Sensor Data Using Weka Library
Project Set Up Using Weka Library
Data Mining of Input Data Set
Building Classifier in Weka Library
Performing Cross-Validation of the Model
Making Predictions Based on the Classification
3
Building Regression Model for Housing Market
Extracting Feature Vector for Housing Data
Performing Normalization of Data
Building Regression Model
Leveraging Regression Model for Predicting Price of House
Saving Model for Further Re-Usage
4
Deep Learning for Predicting Gender Based on the Name
Feeding DL4J Model with Gender Labeled Data
Creating a .java File for Automatic Feature Extraction
Creating Neural Network with Multiple Layers
Training of Deep Learning Model
Performing Validation of a Model
5
Finding Similarity of Words in a Book Using NLP with Deep Learning
Extracting Feature Vector from Text Data
Loading Raw Data That will be an Input for NLP Training
Leveraging NLP Construct from DL4J
Finding Words Based on the Similarity
Chapter 4
Deep Learning for Predicting Gender Based on the Name
Content Locked
Section 3
Creating Neural Network with Multiple Layers
The aim of the video is to learn how we can create a neural network with multiple layers. - Load test data set into model - Load train data set into the model - Configure DL network for guessing gender based on the name
Previous Section
End of Section 3
Next Section