Machine Learning for Image Data
- Offered byFutureLearn
Machine Learning for Image Data at FutureLearn Overview
Machine Learning for Image Data
at FutureLearn
Master the principles and applications of machine learning for image data to harness its potential for plant phenotyping.
Duration | 5 weeks |
Total fee | ₹2,763 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Machine Learning for Image Data at FutureLearn Highlights
Machine Learning for Image Data
at FutureLearn
- Earn a certificate from University of Nottingham
Machine Learning for Image Data at FutureLearn Course details
Machine Learning for Image Data
at FutureLearn
Skills you will learn
More about this course
- Machine learning has made it possible to process vast quantities of image data. That means it can enhance and facilitate the work of bioscience researchers, particularly the field of plant phenotyping.
- On this five-week course from the University of Nottingham, you'll gain an overview of the applications of machine learning for image data, focusing specifically on its use in plant phenotyping.
- You'll start the course with an overview of machine learning, and an introduction to image data and features.
- You'll gain the background you need to understand and apply machine learning in your own bioscience research.
- Once you've mastered the principles of machine learning for image data, you'll start building the practical skills you need to navigate machine learning software.
- Weeks 3 and 4 of the course will cover the main techniques for processing image data, some common challenges surrounding these, and useful tips and tricks to help you overcome them.
- Whether you want to model data through a decision tree or create visualisations using Python, you'll gain the hands-on experience you need for your research.
- In your last week of the course, you'll look more closely at a specific subfield of machine learning: deep learning. You'll learn how neural networks can be used to process biological images in the same way the human brain would.
- By the end of the course, you'll have an understanding of how machine learning can be used with biological image data, and the skills you need to harness it in your own bioscience research.
Machine Learning for Image Data at FutureLearn Curriculum
Machine Learning for Image Data
at FutureLearn
What is machine learning?
Introduction to machine learning
Example machine learning problems
Supervised versus unsupervised learning
Common tasks - classification and regression
Software tools
Summary and review
Data and features
Types of data and features
Feature extraction
Labelling image data
Pre-processing data
Summary and review
Common techniques
Introduction
Clustering
Classification
Regression
Evaluation, visualisation, and selection
Summary and review
Tips and tricks
Introduction
Good Training Practice
Data augmentation
Common challenges
Summary and review
Deep learning
What is deep learning?
Neural networks and deep learning
Some simple tools
Summary and review
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