AI: Begin to learn AI--the first lesson Machine Learning. First, build an AI Machine Learning environment.

AI starts to learn AI--the first lesson Machine Learning

I recorded the AI ​​learning process here for my own reading and sharing with you. My learning is based on MPP video, the courseware MS teacher speaks English, and uses Chrome to translate Chinese.

Machine Learning is my first term for AI.

Learn what is machine learning? How to use data to process data to create predictive models?

There are actually many tools, services, and programming data scientists to do models and language test data.

Let's first look at a simple and easy-to-use service, machine learning and modeling in Microsoft Azure, the principle and workflow are the same, and it is applicable to almost any machine learning framework. According to the courseware, first log in to Azure Portal to create a Machine Learning, the operation steps are as follows;

• Add resources to the Azure platform to find AI + Cognitive Services or directly search for Machine Learning   
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• Find the Machine Learning Workspace as shown below, click to create
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• Next we are going to configure this AI virtual machine.
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• Configuration instructions:
  1. Machine Learning (hereafter referred to as ML) workspace, so I just call it AIML.
  2. The resource group is only used to save all related things, create a new resource group, I named it AI.
  3. The deployment location is Southeast Asia. A storage account is also required, which is used to store, created models, and data. with all the content in the ML workspace.
  4. new myaiml
  5. There is also a workspace pricing tier.
  6. I use Web Services. You will only be charged per usage if you publish your machine learning model as a web service. So you only get charged when you actually use it.
  7. Choose the pricing standard, the best settlement is DEVTEST Standard.
  8. 2 computing hours, 1,000 transactions with zero fees. In the example chosen, S1 25 Compute hours contains 100,000 transactions.
  9. Then click Create. After the creation is complete. Find your own AIML in all resources to find all the content you just created.
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  • Open the Launch Machine Learning Studio on the far right and open a page. After logging in in the new page, the following figure appears.
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  • OK, the first AI ML has been built, and the remaining work is to create the data for a predictive model.