Download [Packt] Machine Learning Projects with Java [FCO] torrent

[Packt] Machine Learning Projects with Java [FCO]

Torrent:	[Packt] Machine Learning Projects with Java [FCO]
Description:	By : Tomasz Lelek Released : Friday, March 29, 2019 [New Release!] Torrent Contains : 30 Files, 5 Folders Course Source : https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-projects-java-video Learn how to leverage well-proven ML algorithms to solve day-to-day ML problems Video Details ISBN 9781789612455 Course Length 2 hour 12 minutes Table of Contents • FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA • ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY • BUILDING REGRESSION MODEL FOR HOUSING MARKET • DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME • FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING Video 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. Style and Approach This is a step-by-step and fast-paced guide that will help you learn different ML techniques you can use to solve real-world problems, Every section will tackle a practical problem and take your ML skills to the next level 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 Authors Tomasz Lelek Tomasz Lelek is a Software Engineer, programming mostly in Java, Scala. He has worked with ML algorithms for the past 5 years, with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and also at Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference. He is a co-founder of www.initlearn.com, an e-learning platform that was built with the Java language. He has also written articles about everything related to the Java world: http://www.baeldung.com/. For More Udemy Free Courses >>> https://ftuforum.com/ For more Lynda and other Courses >>> https://www.freecoursesonline.me/ Our Forum for discussion >>> https://discuss.ftuforum.com/
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Show Files »	[FreeCoursesOnline.Me] [Packt] Machine Learning Projects with Java [FCO] 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA 1. The Course Overview.MP4 (24.4 MB) 2. Performing Feature Engineering.MP4 (40.9 MB) 3. Leveraging ND4J Library Input Vectors and Matrices.MP4 (18.7 MB) 4. Extracting INDArray Features.MP4 (22.6 MB) 5. Applying Scalar Transformations to Features Vectors.MP4 (26.9 MB) 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY 1. Project Set Up Using Weka Library.MP4 (26.2 MB) 2. Data Mining of Input Data Set.MP4 (15.6 MB) 3. Building Classifier in Weka Library.MP4 (19.5 MB) 4. Performing Cross-Validation of the Model.MP4 (13.9 MB) 5. Making Predictions Based on the Classification.MP4 (22.0 MB) 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET 1. Extracting Feature Vector for Housing Data.MP4 (19.7 MB) 2. Performing Normalization of Data.MP4 (20.0 MB) 3. Building Regression Model.MP4 (17.1 MB) 4. Leveraging Regression Model for Predicting Price of House.MP4 (22.7 MB) 5. Saving Model for Further Re-Usage.MP4 (16.5 MB) 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME 1. Feeding DL4J Model with Gender Labeled Data.MP4 (16.9 MB) 2. Creating a .java File for Automatic Feature Extraction.MP4 (21.4 MB) 3. Creating Neural Network with Multiple Layers.MP4 (21.9 MB) 4. Training of Deep Learning Model.MP4 (22.0 MB) 5. Performing Validation of a Model.MP4 (29.9 MB) 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING 1. Extracting Feature Vector from Text Data.MP4 (25.1 MB) 2. Loading Raw Data That will be an Input for NLP Training.MP4 (17.8 MB) 3. Leveraging NLP Construct from DL4J.MP4 (69.1 MB) 4. Finding Words Based on the Similarity.MP4 (79.0 MB) Discuss.FTUForum.com.html (31.9 KB) FreeCoursesOnline.Me.html (108.3 KB) FTUForum.com.html (100.4 KB) How you can help Team-FTU.txt (0.2 KB) [TGx]Downloaded from torrentgalaxy.org.txt (0.5 KB) Torrent Downloaded From GloDls.to.txt (0.1 KB) files
Added:	2019-04-05 11:06:12
Language:	English
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Release name:	[Packt] Machine Learning Projects with Java [FCO]
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