Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning
This Book Presents Machine Learning Models And Algorithms To Address Big Data Classification Problems. Existing Machine Learning Techniques Like The Decision Tree (a Hierarchical Approach), Random Forest (an Ensemble Hierarchical Approach), And Deep Learning (a Layered Approach) Are Highly Suitable , Download PDF file of Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning, Published originally in 2016. This PDF file has 364 Pages pages and the PDF file size is 9.31 MB. The PDF file is written in English, Categorized in deep thinking, THINK BIG. As of 10 January 2025, this page has been bookmarked by 37,745 people. Now You Can Download "Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning Book" as PDF or You Can See Preview By Clicking Below Button.
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