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:

• Sr Machine Learning Engineer
• Data Scientist
• Research Scientist
• Machine Learning Data Science Practitioner
• Artificial Intelligence Engineer
• Machine Learning AI Platform Engineer
• Cloud Big Data Architect: Machine Learning
• Senior Scientist
• Data Mining
• Natural Language Processing Machine Learning
• Senior Verification Engineer
• Project Management Consultant
• Audit Reporting and Analytics Analyst
• Data Platform Engineering Analyst
• Assistant Manager
• Associate Software Engineer
• Experienced QA Developer
• Principal Software Architect

Graduates of Machine Learning have the following employment options abroad:

• AI Ethicist
• AIOps Engineer
• BI Developer
• Business Intelligence Developer
• Cloud Architect for ML
• Computational Linguist
• Conversation Designer
• Cybersecurity Analyst
• Data Lawyer

• Data Scientist
• Human-Centered Machine Learning Designer
• Machine Learning Analyst
• Machine Learning Engineer
• Machine Learning Researcher
• Machine Learning/Machine Learning Ops Engineer
• Natural Language Processing Scientist
• Research Scientist
• Robotics Engineer
• Software Developer
• Software Engineer