You are designing a solution for a company. The solution will use model training for objective classification. You need to design the solution. What should you recommend?
Suggested Answer:E🗳️
Spark in SQL Server big data cluster enables AI and machine learning. You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset. MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for: ✑ Classification ✑ Regression ✑ Clustering ✑ Topic modeling ✑ Singular value decomposition (SVD) and principal component analysis (PCA) ✑ Hypothesis testing and calculating sample statistics Reference: https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython
For training model this is Spark MLlib that contains ML models for spark. Cognitive services is not for training a new model but to use some existing pretrained models.
It says model training, if you need to do model training cognitive services are not the correct solutions. They are already trained. The question refers to a custom scenario.
Cognitive services.. it's possibile train model with Custom Vision API
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