Day 1

Key Insights:

• Problem is the solution
• Lack of information
• Skillset + Mindset </aside>

AI & Data Analytics

Introduction to AI

AI - learn from the data and solves problems

Data and Concepts

1. Numerical data - analyzing something and finding patterns etc and you can able to made a decision and feeding it to machine is called machine learning and deep learning
2. Text data - machine learning and natural language processing
3. Image data - computer vision and deep learning

AI Implementation Steps

1. Gathering Data
2. Data Preparation
3. Choosing a model (Algorithms like ML, DL, regression etc)
4. Training
5. Evaluation of model
6. Parameter Tuning
7. Prediction