chore: releasing v1.0.8 docs

[mhamilton723]

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#xxx

What changes are proposed in this pull request?

Briefly describe the changes included in this Pull Request.

How is this patch tested?

• I have written tests (not required for typo or doc fix) and confirmed the proposed feature/bug-fix/change works.

Does this PR change any dependencies?

• No. You can skip this section.
• Yes. Make sure the dependencies are resolved correctly, and list changes here.

Does this PR add a new feature? If so, have you added samples on website?

• No. You can skip this section.
• Yes. Make sure you have added samples following below steps.

1. Find the corresponding markdown file for your new feature in website/docs/documentation folder.
   Make sure you choose the correct class estimators/transformers and namespace.
2. Follow the pattern in markdown file and add another section for your new API, including pyspark, scala (and .NET potentially) samples.
3. Make sure the DocTable points to correct API link.
4. Navigate to website folder, and run yarn run start to make sure the website renders correctly.
5. Don't forget to add <!--pytest-codeblocks:cont--> before each python code blocks to enable auto-tests for python samples.
6. Make sure the WebsiteSamplesTests job pass in the pipeline.

[acrolinxatmsft1]

Acrolinx Scorecards

A minimum total score of 80 is required.

Select the total score link to review all feedback on clarity, consistency, tone, brand, terms, spelling, grammar, readability, and inclusive language. You should fix all spelling errors regardless of your total score. Fixing spelling errors helps maintain customer trust in overall content quality.

Article	Total score (Required: 80)	Words + phrases (Brand, terms)	Correctness (Spelling, grammar)	Clarity (Readability)
✅ website/versioned_docs/version-1.0.8/Deploy Models/Overview.md	66	94	65	44
✅ website/versioned_docs/version-1.0.8/Deploy Models/Quickstart - Deploying a Classifier.md	68	50	100	40
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Advanced Usage - Async, Batching, and Multi-Key.md	79	100	44	54
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Geospatial Services.md	69	57	67	50
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Multivariate Anomaly Detection.md	88	100	100	66
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Overview.md	85	100	96	73
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Analyze Celebrity Quotes.md	91	100	100	55
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Analyze Text.md	68	70	100	49
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Create Audiobooks.md	100	100	100	100
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Create a Visual Search Engine.md	87	100	100	68
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md	73	100	87	35
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Flooding Risk.md	75	74	100	31
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/AI Services/Quickstart - Predictive Maintenance.md	71	68	87	41
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Anomaly Detection/Quickstart - Isolation Forests.md	70	100	73	33
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Causal Inference/Overview.md	86	100	100	71
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Causal Inference/Quickstart - Measure Causal Effects.md	83	100	59	74
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Causal Inference/Quickstart - Measure Heterogeneous Effects.md	84	100	60	75
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Causal Inference/Quickstart - Synthetic difference in differences.md	66	100	66	56
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Classification/Quickstart - SparkML vs SynapseML.md	86	100	69	82
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Classification/Quickstart - Train Classifier.md	84	100	100	61
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Classification/Quickstart - Vowpal Wabbit on Tabular Data.md	83	100	100	49
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Classification/Quickstart - Vowpal Wabbit on Text Data.md	74	71	100	56
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Distributed Training.md	91	100	100	72
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Getting Started.md	94	100	100	100
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/ONNX.md	87	100	89	46
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Quickstart - Fine-tune a Text Classifier.md	100	100	100	100
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Quickstart - Fine-tune a Vision Classifier.md	100	100	100	100
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Quickstart - ONNX Model Inference.md	98	100	100	92
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Deep Learning/Quickstart - Transfer Learn for Image Classification.md	100	100	100	100
✅ website/versioned_docs/version-1.0.8/Explore Algorithms/Hyperparameter Tuning/HyperOpt.md	70	100	60	66

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[mhamilton723]

/azp run

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 84.48%. Comparing base (d9149d1) to head (bb2dc24).
Report is 1 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2308      +/-   ##
==========================================
+ Coverage   83.72%   84.48%   +0.76%     
==========================================
  Files         326      326              
  Lines       16769    16769              
  Branches     1480     1480              
==========================================
+ Hits        14040    14168     +128     
+ Misses       2729     2601     -128     

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