What’s the buzz around Machine Learning Automation

1
Whats the buzz around Machine Learning
Automation?
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2
What are Machine Learning Automation Processes

• Defined as the process of applying machine
  learning models for automating real-time issues.
• It has brought a lot of changes in leveraging and
  building ML models.
• Automated Machine learning helps organizations
  bring ML into best practices.

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3
How does the Main Process of Machine Learning
Appear

1. Collect relevant data
2. Label your Data
3. Extract required features
4. Split the dataset
5. Determine model evaluation criteria
6. Train Different Models
7. Analyze outcomes
8. Deploy the ML Model

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4
Why is Machine Learning Automation Vital

• Not everyone has the knowledge or programming
  skills for an ML model.
• An ML automation client welcomes innovation and
  provides great ROI as well.

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5
How are Industries Using the Automated Machine
Learning Projects

• Industries are using ML projects to automate
  iterative processes such as
• Hyperparameter Optimisation
• Feature Selection
• Data Pre-Processing
• Transfer of Pre-Trained Models
• Network Architecture Search
• Model Selection

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6
Traditional processes take months and can only
automate model training. Automated ML models take
only a few days to provide insights for solving
business problems. It saves time, increases
business ROI, improves accuracy and reduces
manual workload.
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7
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