文件名称：Big.Data.Analytics.Made.Easy.1946390712.epub
文件大小：676KB
文件格式：EPUB
更新时间：2020-02-02 08:23:14
Big Data Analytics
Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this book. If you are already working in Analytics and dealing with Big Data, you will still find this book useful, as it covers exhaustive Data Mining Techniques, which are considered to be Advanced topics. It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The toughest Data Analytics concepts are made simpler, It features examples from all the domains so that the reader gets connected to the book easily. This book is like a personal trainer that will help you master the Art of Data Science. Table of Contents STEP 1 Introduction to Big Data Analytics STEP 2 Getting started with R STEP 3 Data Exploration STEP 4 Data Preparation STEP 5 Statistical Thinking STEP 6 Introduction to Machine Learning STEP 7 Dimensionality Reduction STEP 8 Clustering STEP 9 Market Basket Analysis STEP 10 Kernel Density Estimation STEP 11 Regression STEP 12 Logistic Regression STEP 13 Decision Trees STEP 14 K-Nearest Neighbor Classification STEP 15 Bayesian Classifiers STEP 16 Neural Networks STEP 17 Support Vector Machines STEP 18 Ensemble Learning