Deep Learning for Predicting Gender Based on the Name | Machine Learning Projects with Java

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Machine Learning Projects with Java

By : Tomasz Lelek

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Machine Learning Projects with Java

By: Tomasz Lelek

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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

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

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

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

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

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

Machine Learning Projects with Java

By : Tomasz Lelek

Machine Learning Projects with Java

By: Tomasz Lelek

Overview of this book

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