Mysuru
MLOps using Vertex AI:
Beyond Model Training
Shadab Hussain
Senior Associate - MLOps, TheMathCompany
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What is Machine
Learning?
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What is Machine Learning?
1. An application of artificial intelligence
2. Built using algorithms and data
3. Automatically analyze and make decision by itself
without human intervention.
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A classification problem is
when the output variable is a
category.
Examples:
“red” or “blue”?
will it rain today or not?
“cat”, “dog” or “tiger”?
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A regression problem is
when the output variable is
a real value.
Examples:
Predict value of a stock?
Price of house in a city?
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Problems with Traditional way for building ML Models
• Good configuration hardware required.
• Model needs to be deployed in a scalable way.
• Machine Learning expertise required to write code
• Build efficient models.
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How to tackle all this??
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Vertex AI
• Train models without code, minimal expertise required
• A unified UI for the entire ML workflow
• Manage your models with confidence
• Pre-trained APIs for vision, video, natural language,
and more
Vertex AI
• Text
Classification
Entity Extraction
Sentiment analysis
• Video
Classification
Action Recognition
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How does Vertex AI Tables help?
• It helps you build and deploy high quality machine
learning models on structured data (Tables).
• No code required!!
• No Machine Learning Expertise required!!
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Example problem Statement
1. Predicting Housing Prices
2. Predicting possibility of getting Diabetes
3. Credit card data for 'good' or 'bad' customer
4. Mobile Phone Price range from it’s Features (RAM, Battery, etc)