Data & Representation
Channel: Devopedia
Date: 2023-02-17

Devopedia is pleased to organize a series of in-depth talks on Machine Learning. This three-part series is designed for individuals who want to get introduced to ML and understand the mathematical concepts. Our approach will be to offer intuitive explanation without getting bogged down in equations that underpin ML.

You will learn about linear algebra, calculus, probability and statistics, and optimization, as they relate to ML.  Whether you are a beginner or have some experience with ML, this series will provide you with a solid foundation in the math that drives this exciting field.

Data & Representation:
- Data Representation: Vectors / Matrices
- Types of Data: Summary Statistics to Distribution
- Normalization/Standardization Options

Speaker:
Ramanathan R, Data Scientist

Resources:
https://drive.google.com/drive/folders/1T4ZFcah-XwGvv0TvtUON5fJzXQDI5B70