machinary used for mining query

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    The water was used for a variety of purposes, including removing overburden and rock debris, called hydraulic mining, as well as washing comminuted, or crushed, ores and driving simple machinery. The Romans used hydraulic mining methods on a large scale to prospect for the veins of ore, especially a now-obsolete form of mining known as hushing.

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  • Data Mining Queries (Analysis Services) | Microsoft Docs

    Create a Data Mining Query by Using XMLA Use Analysis Services Templates in SQL Server Management Studio: Learn more about content queries and see examples: Create a Content Query on a Mining Model Query the Parameters Used to Create a Mining Model Content Queries (Data Mining) Set query options and troubleshoot query permissions and problems

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  • How I used machine learning to classify emails and turn ...

     · How I used machine learning to classify emails and turn them into insights (part 2). ... A common technique used to measure cohesion within clusters in the field of data mining. ... Hence to find the top 10 emails that match my query I used argsort and some negative array slicing (most relevant emails have higher cosine similarity values) ...

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  • How to import JSON data to Data Miner for Mining | Oracle ...

     · Here is an example of how JSON Query node is used to project the JSON data source to relational format, so that the data can be consumed by Explore Data node for data analysis and Class Build node for building models. Conclusion. This blog shows how JSON data can be brought over to Data Miner via the new JSON Query node.

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  • DSSM - Microsoft Research

     · The goal of this project is to develop a class of deep representation learning models. DSSM stands for Deep Structured Semantic Model, or more general, Deep Semantic Similarity Model. DSSM, developed by the MSR Deep Learning Technology Center(DLTC), is a deep neural network (DNN) modeling technique for representing text strings (sentences, queries, predicates, entity …

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  • How I used machine learning to classify emails and turn ...

     · What I got so far is interesting, but I wanted to see more and find out what else the machine was able to learn from this set of data. Clustering with KMeans. KMeans is a popular clustering algorithm used in machine learning, where K stands for the number of clusters. I created a KMeans classifier with 3 clusters and 100 iterations.

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