docs: refactor (#278)

* Major docs refactoring * docs: cli simplification (#287) * docs: cli simplification * chore: delete cli metricize command * Docs (workflows): classification/object model performance (#284) * docs: create evaluationg classification model performance workflow * docs: fix object model performance evaluation * docs: fix typos * fix: pr revision * docs: sdk content (#290) * wip * feat: embeddings notebook * docs: fix of typos * restructure: sdk importer utils * quick content paste * rebase with main branch * docs: add end-to-end active learning tutorial fix: minor rewordings * Docs: add acquisition functions list/table (#291) docs: add acquisition functions list/table * docs: clean existent active learning section (#292) * Remove incomplete workflow in favour of end-to-end tutorial * docs: update heading levels for table of content * docs: add references to the newer pages Add references to the acquisition functions list/table and the end-to-end tutorial about easy active learning in MNIST. * fix: update broken links * fix: visualise to visualize * fix: typos and other minors * fix: linting --------- Co-authored-by: NikolajEncord\Nikolaj Buhl <[email protected]> Co-authored-by: David Sapiro <[email protected]> Co-authored-by: Gorkem Polat <[email protected]> Co-authored-by: Eloy Pérez Torres <[email protected]> Co-authored-by: Eloy Pérez Torres <[email protected]>
encord-team · Mar 27, 2023 · 144d0ca · 144d0ca
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diff --git a/README.md b/README.md
@@ -91,7 +91,7 @@ The download command will ask which pre-built dataset to use and will download i
 ```shell
 encord-active download
 cd /path/of/downloaded/project
-encord-active visualise
+encord-active visualize
 ```
 
 The app should then open in the browser.
@@ -111,11 +111,11 @@ encord-active init /path/to/data/directory
 
 A project will be created using the data in the directory.
 
-To visualise the project run:
+To visualize the project run:
 
 ```shell
 cd /path/to/project
-encord-active visualise
+encord-active visualize
 ```
 
 You can find more details on the `init` command in the [CLI documentation][encord-active-docs-init].
@@ -171,7 +171,7 @@ Encord Active ships with 25+ metrics and more are coming; [contributions][contri
 - [Similarity Search](https://docs.encord.com/active/docs/workflows/improve-your-data/similar-images)
 - [Annotator Benchmarks](https://docs.encord.com/active/docs/pages/label-quality/explorer/)
 - [Data Tagging](https://docs.encord.com/active/docs/workflows/tags/#steps)
-- [Visualise TP/FP/FN](https://docs.encord.com/active/docs/category/model-quality)
+- [Visualize TP/FP/FN](https://docs.encord.com/active/docs/category/model-quality)
 - [Dataset Balancing](https://docs.encord.com/active/docs/pages/export/balance_export)
 - [COCO Exports](https://docs.encord.com/active/docs/pages/export/filter_export)
 - And much more!

diff --git a/docs/docs/active-learning/active-learning-workflow.md b/docs/docs/active-learning/active-learning-workflow.md
diff --git a/docs/docs/active-learning/index.mdx b/docs/docs/active-learning/index.mdx
@@ -9,11 +9,7 @@ This is the idea behind active learning.
 
 **Encord Active** provides you with the tools to take advantage of the active learning method, and it's integrated with **Encord Annotate** to deliver the best annotation experience.
 
-If you are already familiar with the active learning foundation, continue your read with an exploration of **Encord Active**'s acquisition functions and common workflows.
-
-import DocCardList from "@theme/DocCardList";
-
-<DocCardList />
+If you are already familiar with the active learning foundation, continue your read with an exploration of [Encord Active's acquisition functions](/metrics/model-quality-metrics/#acquisition-functions) and our end-to-end tutorial about [easy active learning on MNIST](/tutorials/easy-active-learning-on-mnist).
 
 ## What is active learning?
 
@@ -23,7 +19,4 @@ This process is illustrated in the figure below.
 
 ![active-learning-cycle.svg](../images/active-learning/active-learning-cycle.svg)
 
-
 Check out our [practical guide to active learning for computer vision](https://encord.com/blog/a-practical-guide-to-active-learning-for-computer-vision/) to learn more about active learning, its tradeoffs, alternatives and a comprehensive explanation on active learning pipelines.
-
-