Machine Learning

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Machine Learning is an Artificial Intelligence (AI) application that is utilised to bring the intelligence of spontaneous learning to diverse systems. This application tries to construct computer programmes that can access data and learn from it.

Machine Learning uses six main components to solve problems:
Feature Extraction + Domain knowledge
Feature Selection
Choice of Algorithm
Training
Choice of Metrics/Evaluation Criteria
Testing

Machine Learning is frequently utilised on the Internet in search engines, spam detection in email, and banking software to detect anomalous transactions, among other applications. Future advances in machine learning could have a huge impact on society by providing effective support in managing their daily life. It has the ability to improve healthcare systems, security applications, and transportation systems by utilising self-operating artificial intelligence systems such as radars, sensors, and so on.

Robotics, linguistics, natural language processing (NLP), computer vision, programming, software design, signalling, processing, speech recognition, and many other topics are covered in Machine Learning courses. It teaches students how to use algorithms and statistical models to build self-learning computer systems. Students are also trained to have strong numeracy abilities, writing and vocal communication skills, analytical skills, invention and creativity, attention to detail, and the capacity to work with vast and complicated databases.

Study Levels:

Machine Learning courses are available at the following levels of study:

Bachelor in Applied Data Science
Bachelor in Artificial Intelligence
Bachelor in Computer Engineering
Bachelor in Computer Science
Bachelor in Computer Science and Technology
Bachelor in Information Technology
Bachelor in Machine Learning
Bachelor in Robotics Engineering
Bachelor in Science and Engineering
Bachelor of Engineering
Bachelor of Science
Bachelor of Software Engineering
Diploma in Machine Learning
Graduate Diploma in Machine Learning
Master in Applied Data Science
Master in Artificial Intelligence
Master in Computer Engineering
Master in Computer Science
Master in Computer Science and Technology
Master in Information Technology
Master in Machine Learning
Master in Robotics Engineering
Master in Science and Engineering
Master of Engineering
Master of Science
Master of Software Engineering
Doctor of Philosophy
Postgraduate Diploma in Machine Learning
Pre-bachelor degree in Machine Learning

Specialisations:

Some of the Machine Learning specialisations available include:

Advanced Machine Learning
Behavioral Imaging
Big Data for Health
Big Data Systems and Analysis
Computational Statistics
Computer Vision
Data and Visual Analytics
Deep Learning
Machine Learning for Python
Machine Learning for Robotics
Machine Learning for Training
Markov Chain Monte Carlo
Mathematics for Machine Learning
Natural Learning
Pattern Recognition
Probabilistic Graph Models
Reinforcement Learning and Decision Making
Spectral Algorithms
Stochastic Optimization
Web Search and Text Mining

Employability:

Machine Learning technologies are being utilised in the vast majority of sectors. As a result, graduates from this subject can find work in a range of industries, including finance, government, healthcare, retail, oil and gas, and transportation, to mention a few. Graduates of Machine Learning can pursue the following careers: