diff --git a/docs/readthedocs/source/doc/Orca/Overview/install.md b/docs/readthedocs/source/doc/Orca/Overview/install.md
index 5fce4620..2d5af915 100644
--- a/docs/readthedocs/source/doc/Orca/Overview/install.md
+++ b/docs/readthedocs/source/doc/Orca/Overview/install.md
@@ -1,17 +1,20 @@
 # Installation
 
-
-## To use basic Orca features
-We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment.
+We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment. Install conda and create an environment for BigDL Orca:
 ```bash
 conda create -n py37 python=3.7  # "py37" is conda environment name, you can use any name you like.
 conda activate py37
-pip install bigdl-orca
 ```
 
-You can install bigdl-orca nightly build version using
+## To use basic Orca features
+You can install Orca in your created conda environment for distributed data processing, training and inference with the following command:
 ```bash
-pip install --pre --upgrade bigdl-orca
+pip install bigdl-orca  # For the official release version
+```
+
+or for the nightly build version, use:
+```bash
+pip install --pre --upgrade bigdl-orca  # For the latest nightly build version
 ```
 
 ## To additionally use RayOnSpark
@@ -19,12 +22,12 @@ pip install --pre --upgrade bigdl-orca
 If you wish to run [RayOnSpark](ray.md) or [sklearn-style Estimator APIs in Orca](distributed-training-inference.md) with "ray" backend, use the extra key `[ray]` during the installation above:
 
 ```bash
-pip install bigdl-orca[ray]
+pip install bigdl-orca[ray]  # For the official release version
 ```
 
-or for the nightly build version, use
+or for the nightly build version, use:
 ```bash
-pip install --pre --upgrade bigdl-orca[ray]
+pip install --pre --upgrade bigdl-orca[ray]  # For the latest nightly build version
 ```
 
 Note that with the extra key of [ray], `pip` will automatically install the additional dependencies for RayOnSpark,
@@ -35,17 +38,17 @@ including `ray[default]==1.9.2`, `aiohttp==3.8.1`, `async-timeout==4.0.1`, `aior
 If you wish to run AutoML, use the extra key `[automl]` during the installation above:
 
 ```bash
-pip install bigdl-orca[automl]
+pip install bigdl-orca[automl]  # For the official release version
 ````
 
-or for the nightly build version, use
+or for the nightly build version, use:
 ```bash
-pip install --pre --upgrade bigdl-orca[automl]
+pip install --pre --upgrade bigdl-orca[automl]  # For the latest nightly build version
 ```
 
 Note that with the extra key of [automl], `pip` will automatically install the additional dependencies for distributed hyper-parameter tuning,
 including `ray[tune]==1.9.2`, `scikit-learn`, `tensorboard`, `xgboost` together with the dependencies given by the extra key [ray].
 
-- To use [Pytorch Estimator](#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`.
+- To use [Pytorch AutoEstimator](distributed-tuning.md#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`.
 
-- To use [TensorFlow/Keras AutoEstimator](#tensorflow-keras-autoestimator), you need to install TensorFlow with `pip install tensorflow==1.15.0`.
+- To use [TensorFlow/Keras AutoEstimator](distributed-tuning.md#tensorflow-keras-autoestimator), you need to install TensorFlow with `pip install tensorflow==1.15.0`.