Merge pull request #24 from moy777/master

update README

README.md

@@ -5,35 +5,35 @@
 Introduction
 ============
 
-MACHINE LEARNING Algorithm library, running on KUNPENG chipset, is an accelerated library that provides a rich set of higher-level tools for machine learning algorithms. It is based on the original APIs from Apache [Spark 2.3.2](https://github.com/apache/spark/tree/v2.3.2) and [breeze 0.13.1](https://github.com/scalanlp/breeze/tree/releases/v0.13.1). The accelerated library for performance optimization greatly improves the computational performance of big data algorithm scenarios.
+The machine learning algorithm library running on Kunpeng processors is an acceleration library that provides a rich set of high-level tools for machine learning algorithms. It is based on the original APIs of Apache [Spark 2.3.2](https://github.com/apache/spark/tree/v2.3.2) and [breeze 0.13.1](https://github.com/scalanlp/breeze/tree/releases/v0.13.1). The acceleration library for greatly improves the computing power in big data scenarios.
 
-The current version provides nine common learning algorithms: Support Vector Machine (SVM) Algorithm, Random Forest Classifier (RFC) algorithm, Gradient Boosting Decision Tree (GBDT) algorithm, Decision Tree (DT) algorithm, K-means Clustering algorithm, Linear Regression algorithm, Logistic Regression algorithm, Principal Component Analysis (PCA) algorithm, Singular Value Decomposition (SVD) algorithm, Latent Dirichlet Allocation (LDA) algorithm, Prefix-Projected Pattern Growth (Prefix-Span) algorithm, Alternating Least Squares (ALS) algorithm, and K-Nearest Neighbors (KNN) algorithm. 
+The library provides nine machine learning algorithms: support vector machine (SVM), random forest classifier (RFC), gradient boosting decision tree (GBDT), decision tree (DT), K-means clustering, linear regression, logistic regression algorithm, principal component analysis (PCA), singular value decomposition (SVD), latent dirichlet allocation (LDA), prefix-projected pattern prowth (Prefix-Span), alternating least squares (ALS), and K-nearest neighbors (KNN). You can find the latest documentation on the project web page. This README file contains only basic setup instructions.
 You can find the latest documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.
 
 
 
 
 
-Building And Package
+Building And Packageing
 ====================
 
-(1) Package under the "Spark-ml-algo-lib" :
+(1) Build the project under the "Spark-ml-algo-lib" directory:
 
     mvn clean package
 
 
-(2) get "sophon-ml-core_2.11-1.2.0.jar" under the "Spark-ml-algo-lib/ml-core/target"
+(2) Obtain "sophon-ml-core_2.11-1.2.0.jar" under the "Spark-ml-algo-lib/ml-core/target" directory.
 
-   get "sophon-ml-acc_2.11-1.2.0.jar" under the "Spark-ml-algo-lib/ml-accelerator/target"
+   Obtain "sophon-ml-acc_2.11-1.2.0.jar" under the "Spark-ml-algo-lib/ml-accelerator/target" directory.
 
 
 
-Contribution guidelines
+Contribution Guidelines
 ========
 
-Please use GitHub [issues](https://github.com/kunpengcompute/Spark-ml-algo-lib/issues) for tracking requests and bugs.
+Track the bugs and feature requests via GitHub [issues](https://github.com/kunpengcompute/Spark-ml-algo-lib/issues).
 
 More Information
 ========
 
-For further assistance, you can send email to [email protected].
+For further assistance, send an email to [email protected].