Machine Learning Introduction class

1. Machine Learning Artificial Intelligence Data Science
Deep Learning

2. Machine Learning
Learning from Past and predicting the future
Algorithm
Stock Market - Prediction
Weather Forecast
Business will profit or not
How Much will it profit
Deriving Features (causation)
Will a Person repay loan
or not
Credit card fraud
Will Customer churn ?
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Mail Spam or ham

3. Artificial Intelligence Deep Learning
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CAT
TIGER
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Driverless Car
Resume Search
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Interview by AI
Voice Recognition
Face Recognition
https://youtu.be/kWlL4KjIP4M Is Alexa An Artificial Intelligence (AI)? - Bing video

4. Prerequisites
R or Python for Data Science
Math for Data Analysis
Data Visualization in Python
Introduction to SQL
Data Scraping

5. Data Science

6. Job Opportunities
Cloud Data Engineer
Data Analyst
Data Engineer
Data Architect
Machine Learning Engineer
Statistician
Data Scientist
Types of Positions

7. I learnt ML,AI , Where I can apply my knowledge ?
From where to start learning ?
I got a idea , how can I convert to a product ?
Many Online Sources are available
Begin with Jupyter Notebook
Kaggle , Hackathons
Hackathons ,getting a Patent for your product