Resolved typos (#665)

README.md

@@ -7,7 +7,7 @@ We use [Hugo](https://gohugo.io/) to format and generate our website, the
 [Docsy](https://github.com/google/docsy) theme for styling and site structure, 
 and [Netlify](https://www.netlify.com/) to manage the deployment of the site. 
 Hugo is an open-source static site generator that provides us with templates, 
-content organisation in a standard directory structure, and a website generation 
+content organization in a standard directory structure, and a website generation 
 engine. You write the pages in Markdown, and Hugo wraps them up into a website.
 
 ## Quickstart

content/_index.html

@@ -72,7 +72,7 @@ <h4>Pipelines</h4>
 
 	<div class="lead">
 		<div class="image left">
-			<object type="image/svg+xml" data="multi-framework.svg" alt="Multi Framerwork">
+			<object type="image/svg+xml" data="multi-framework.svg" alt="Multi-framework">
 			</object>
 		</div>
 		<div class="text">

content/docs/about/contributing.md

@@ -67,7 +67,7 @@ When you are ready to join
 ### Companies/organizations
 
 If you would like your company or organization to be acknowledged for contributing to
-Kubeflow or participatng in the community (being a user counts) please send a PR
+Kubeflow or participating in the community (being a user counts) please send a PR
 adding the relevant info to
 [member_organizations.yaml](https://github.com/kubeflow/community/blob/master/member_organizations.yaml).
 

content/docs/components/tfserving_new.md

@@ -57,7 +57,7 @@ To use S3, generate a different prototype
 ks generate tf-serving-deployment-aws ${MODEL_COMPONENT} --name=${MODEL_NAME}
 ```
 
-First you need to create secret that will contain access credentials. Use base64 to encode your credentials and check deails in the Kubernetes guide to [creating a secret manually](https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret-manually)
+First you need to create secret that will contain access credentials. Use base64 to encode your credentials and check details in the Kubernetes guide to [creating a secret manually](https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret-manually)
 ```
 apiVersion: v1
 metadata:

content/docs/components/tftraining.md

@@ -509,7 +509,7 @@ A TFJob has a TFJobStatus, which has an array of TFJobConditions through which t
 * The **lastUpdateTime** field provides the last time this condition was updated.
 * The **lastTransitionTime** field provides the last time the condition transitioned from one status to another.
 * The **message** field is a human readable message indicating details about the transition.
-* The **reason** field is a unique, one-word, CamelCase reson for the condition's
+* The **reason** field is a unique, one-word, CamelCase reason for the condition's
   last transition.
 * The **status** field is a string with possible values "True", "False", and "Unknown".
 * The **type** field is a string with the following possible values:

content/docs/examples/resources.md

@@ -39,7 +39,7 @@ model using TensorFlow.
 
 {{% blocks/content-item title="Object detection - cats and dogs" 
   url="https://github.com/kubeflow/examples/tree/master/object_detection" %}}
-Train a distribued model for recognizing breeds of cats and
+Train a distributed model for recognizing breeds of cats and
 dogs with the TensorFlow Object Detection API. Serve the model using TensorFlow.
 {{% /blocks/content-item %}}
 

content/docs/gke/deploy/deploy-cli.md

@@ -185,7 +185,7 @@ privilege. The three service accounts are:
 
 * Run a full ML workflow on Kubeflow, using the
   [end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
-  [GitHub issue sumarization 
+  [GitHub issue summarization 
   example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
 * See how to [delete](/docs/gke/deploy/delete-cli) your Kubeflow deployment 
   using the CLI.

content/docs/gke/deploy/deploy-ui.md

@@ -40,7 +40,7 @@ takes longer than expected, try accessing the above URI anyway.
 
 * Run a full ML workflow on Kubeflow, using the
   [end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
-  [GitHub issue sumarization 
+  [GitHub issue summarization 
   example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
 * See how to delete your Kubeflow deployment using the 
   [CLI](/docs/gke/deploy/delete-cli) 

content/docs/gke/deploy/monitor-iap-setup.md

@@ -188,9 +188,9 @@ While it requires some effort, the end result is well worth it
      https://${FQDN}     
      ```
 
-     * If you get SSL errors this typically means your SSL certificate is still propogating wait a bit and try again
+     * If you get SSL errors this typically means your SSL certificate is still propagating wait a bit and try again
 
-       * SSL propogation could take up to 10 minutes
+       * SSL propagation could take up to 10 minutes
 
      * If you are not asked to login and you get a 404 error that means IAP is still being configured
 

content/docs/gke/deploy/next-steps.md

@@ -6,7 +6,7 @@ weight = 7
 
 * Run a full ML workflow on Kubeflow, using the
   [end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
-  [GitHub issue sumarization 
+  [GitHub issue summarization 
   example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
 * See how to [customize](/docs/gke/customizing-gke) your Kubeflow 
   deployment on GKE.

content/docs/gke/troubleshooting-gke.md

@@ -343,7 +343,7 @@ for available zones and cpu platforms.
 
 ## Changing the OAuth client used by IAP
 
-If you need to change the OAuth client used by IAP you can runn the following commands
+If you need to change the OAuth client used by IAP you can run the following commands
 to replace the K8s secret containing the id and secret.
 
 ```

content/docs/other-guides/advanced.md

@@ -25,10 +25,10 @@ Deploy the environment
 ks apply cloud
 ```
 
-Start Juptyer
+Start Jupyter
 You should see your NFS volumes mounted as `/mnt/${DISK_NAME}`
 
-In a Juptyer cell you can run
+In a Jupyter cell you can run
 
 ```
 !df

content/docs/pipelines/upgrade.md

@@ -31,7 +31,7 @@ The MySQL database and the Minio server are both backed by the Kubernetes
   creates a Compute Engine 
   [Persistent Disk](https://cloud.google.com/persistent-disk/) (PD)
   and mounts it as a PV. 
-* If you are not deploying to GCP, you can specify your own prefered PV.
+* If you are not deploying to GCP, you can specify your own preferred PV.
 
 ## Deploying Kubeflow
 

content/docs/started/getting-started-k8s.md

@@ -9,7 +9,7 @@ cluster.
 
 If you are using a Kubernetes distribution or Cloud Provider which has specific
 instructions for installing Kubeflow we recommend following those instructions.
-Those instuctions do additional Cloud specific setup to create a really great 
+Those instructions do additional Cloud specific setup to create a really great 
 Kubeflow experience.
 
 Before installing Kubeflow on the command line: