Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
What you'll learn
- Machine learning
- Computer science techniques to build algorithms
- Convolutional neural network
- Fseature extraction
- Image segmentation
- OpenCV and TensorFlow
Requirements
- Desktop/ Laptop
- Internet connectivity min 2 Mbps
Target Audience
- Computer Vision Engineer
- Data Scientist
- AI Engineer
- Data Science Engineer
- Introduction
- What is Computer Vision?
- Computer Vision Library and its Installation
- Loading and Saving an Image
- Loading and Saving an Image
- Drawing Functions
- Trackbar as Color Palette
- Basic Operations
- Core Operations
- Arithmetic Operations
- Performance Measurement and Improvement Techniques
- Mathematical Tools in OpenCV
- Texture Analysis
- Shape Analysis
- Various Filters and Noise Cancelation
- Pattern Detection
- Application of Computer Vision
- Computer Vision Over Cloud
This course does not require any prior expertise but we need a passionate mind that wants to learn and experience things with us.
The course delivered will be completely online.
The course will be delivered in hybrid mode, which means our trainers will be taking sessions online along with recorded lectures on our platform.
The fee once paid is not refundable or adjustable under any circumstances in future.
