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23 lines
1.8 KiB
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23 lines
1.8 KiB
Markdown
---
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title: "OpenPOWER and AI Workshop at IIT Delhi Campus"
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date: "2018-11-13"
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categories:
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- "blogs"
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tags:
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- "featured"
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---
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Josiah Samuel, advisory software engineer, IBM
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[](http://opf.tjn.chef2.causewaynow.com/wp-content/uploads/2018/11/IIT-Delhi.jpg)
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I recently attended the OpenPOWER and AI Workshop at the Indian Institute of Technology Delhi. This workshop gathered 30 students to learn about IBM and its work with Artificial Intelligence.
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I was able to offer these students hands-on sessions discussing PowerAI, SnapMl and Machine Learning. One portion of the workshop focused on walking through a problem statement. This workshop's statement was: "How to make a quick prediction whether a credit amount can be sanctioned or not." After explaining the assignment, the students were taught how to do explanatory data analysis using the Matplotlib library. These charts showed the co-relation between various attributes. Students were taught how to convert raw data into a format machine learning algorithms can understand. All along, the students were allowed to try on their own based on the provided Power8 setup.
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Other tools that were used to solve this problem included the Scikit-learn's logistic Regression API to train the model, using a small dataset which shows low accuracy. This allowed the students to view the metrics. Students learned that the more the dataset was increased, the more accurate the data became.
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Following this, we contrasted the Scikit-learn's to SnapML. SnapML can perform ML training on large datasets with at least a 10x decrease in training time compared to Scikit-learn's training time with no compromise on the model's Accuracy.
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It was an incredible experience to share my work with the IIT Delhi students and walk them through a real-life scenario.
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