Update README.md

Removed Inference Optimization as an AI Tools preset

Author: jimmytwei

AI-and-Analytics/Getting-Started-Samples/README.md

@@ -16,12 +16,12 @@ Third party program Licenses can be found here: [third-party-programs.txt](https
 
 |AI Tools preset | Component      | Folder                                             | Description
 |--------------------------| --------- | ------------------------------------------------ | -
-|Inference Optimization| Intel® Neural Compressor (INC) | [Intel® Neural Compressor (INC) Sample-for-PyTorch](INC-Quantization-Sample-for-PyTorch)                     | Performs INT8 quantization on a Hugging Face BERT model.
-|Inference Optimization| Intel® Neural Compressor (INC) | [Intel® Neural Compressor (INC) Sample-for-Tensorflow](INC-Sample-for-Tensorflow)                     | Quantizes a FP32 model into INT8 by Intel® Neural Compressor (INC) and compares the performance between FP32 and INT8.
-|Deep Learning <br/> Inference Optimization| Intel® Optimization for TensorFlow* | [IntelTensorFlow_GettingStarted](IntelTensorFlow_GettingStarted)               | A simple training example for TensorFlow.
-|Deep Learning <br/> Inference Optimization|Intel® Extension of PyTorch | [Getting Started with Intel® Extension for PyTorch* (IPEX)](https://github.com/intel/intel-extension-for-pytorch/blob/main/examples/cpu/inference/python/jupyter-notebooks/README.md) | A simple training example for Intel® Extension of PyTorch.
+|Deep Learning| Intel® Neural Compressor (INC) | [Intel® Neural Compressor (INC) Sample-for-PyTorch](INC-Quantization-Sample-for-PyTorch)                     | Performs INT8 quantization on a Hugging Face BERT model.
+|Deep Learning| Intel® Neural Compressor (INC) | [Intel® Neural Compressor (INC) Sample-for-Tensorflow](INC-Sample-for-Tensorflow)                     | Quantizes a FP32 model into INT8 by Intel® Neural Compressor (INC) and compares the performance between FP32 and INT8.
+|Deep Learning| Intel® Optimization for TensorFlow* | [IntelTensorFlow_GettingStarted](IntelTensorFlow_GettingStarted)               | A simple training example for TensorFlow.
+|Deep Learning|Intel® Extension of PyTorch | [Getting Started with Intel® Extension for PyTorch* (IPEX)](https://github.com/intel/intel-extension-for-pytorch/blob/main/examples/cpu/inference/python/jupyter-notebooks/README.md) | A simple training example for Intel® Extension of PyTorch.
 |Classical Machine Learning| Scikit-learn (OneDAL) | [Intel_Extension_For_SKLearn_GettingStarted](Intel_Extension_For_SKLearn_GettingStarted) | Speed up a scikit-learn application using Intel oneDAL.
-|Deep Learning Inference Optimization|oneCCL Bindings for PyTorch | [Intel oneCCL Bindings For PyTorch GettingStarted](Intel_oneCCL_Bindings_For_PyTorch_GettingStarted)         | Guides users through the process of running a simple PyTorch* distributed workload on both GPU and CPU. |
-|Inference Optimization|JAX Getting Started Sample | [IntelJAX GettingStarted](https://github.com/oneapi-src/oneAPI-samples/tree/development/AI-and-Analytics/Getting-Started-Samples/IntelJAX_GettingStarted)  | The JAX Getting Started sample demonstrates how to train a JAX model and run inference on Intel® hardware. |
+|Deep Learning|oneCCL Bindings for PyTorch | [Intel oneCCL Bindings For PyTorch GettingStarted](Intel_oneCCL_Bindings_For_PyTorch_GettingStarted)         | Guides users through the process of running a simple PyTorch* distributed workload on both GPU and CPU. |
+|Deep Learning|JAX Getting Started Sample | [IntelJAX GettingStarted](https://github.com/oneapi-src/oneAPI-samples/tree/development/AI-and-Analytics/Getting-Started-Samples/IntelJAX_GettingStarted)  | The JAX Getting Started sample demonstrates how to train a JAX model and run inference on Intel® hardware. |
 
 *Other names and brands may be claimed as the property of others. [Trademarks](https://www.intel.com/content/www/us/en/legal/trademarks.html)