Machine Learning Course Nus
There will be projects and assessment to reinforce participants learning as part of the course. This module introduces basic concepts and algorithms in machine learning and neural networks.
Cs6101 Deep Unsupervised Learning
Through this course gain insights on big data applications analytics and machine learning and learn to leverage them for better business decisions.
Machine learning course nus. Among different machine learning algorithms deep learning stands out. The course primarily focuses on the technicalities of machine learning with some focus on relevant managerial issues. The course AI and Machine Learning Begins With Me Synchronous e-learning will be added automatically.
The course will discuss machine learning concepts and briefly introduce Python PyCharm environment Scikit-learn Numpy Anaconda and Keras toolkits. The application of machine learning is deepening and widening in the world of business and technology. To confirm click Add to Cart then Checkout.
The course will discuss machine learning concepts and briefly introduce Python PyCharm environment Scikit-learn Numpy Anaconda and Keras toolkits. It focuses on the computational fundamentals and principles that underlie intelligent systems knowledge representations machine learning and reasoning as well as state-of-the-art technologies in major AI application domains vision speech language processing data analytics and robotics. This course will introduce participants to machine learning focusing more on the practical and applied aspects rather than theory.
The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics the Department of Statistics and Applied Probability and the Department of Computer Science with support from the Faculty of Engineering and the Saw Swee Hock School of Public Health. This is a course at advanced level and focuses on the application of deep learning techniques in text mining tasks. The main reason for studying computational learning is to make better use of powerful computers to learn knowledge or regularities from the raw.
Please log in if you have an existing account or. Creating business values with machine learning eg customer segmentation and personalised recommendation Measuring ROI for machine learning projects. Module Description Aims and Objectives This module introduces basic concepts and algorithms in machine learning and neural networks.
Online scalenusedusg This course will introduce participants to machine learning focusing more on the practical and applied aspects rather than theory. The NUS CET500 course catalogue has been curated for the general public and comprises skills-based and industry-relevant courses that are all SSG-approved with up to 90 subsidy. NUS Bulletin Course Catalogue NUS Bulletin Course Catalogue NUS Academic Calendar.
Course Objectives This course is designed to teach you what Artificial Intelligence AI is and what its applications are. IT professionals who need to apply pattern recognition and machine learning techniques to develop intelligent systems. The main reason for studying computational learning is to make better use of powerful computers to learn knowledge or regularities from the raw data.
Since its introduction in 2006 deep learning has fulfilled some of the oldest artificial intelligence promises such as autonomousdriverless vehicles machine translation precise and. Regression as a basic machine learning method will be discussed and practised. NUS SoC 20202021 Semester I Time and Venue.
MSc in Data Science and Machine Learning by Coursework Prospective Students. You will now be taken to the NUS Online Application Portal OAP. Mondays 1600-1800 and Thursdays 1100-1200.
Build a data-driven organisation. IT professionals who need to assess and compare pattern recognition and machine learning techniques. This one-year full-time programme will help to meet the growing demands for big-data professionals.
Graduate Certificate in Deep Learning for Industry - NUS Mathematics Graduate Certificate in Deep Learning for Industry Digital technologies such as data analytics and artificial intelligence have been well recognized to help companies improve their operational efficiency develop cost-effective solutions and generate new revenue streams. National University of Singapore Level 4 Block S17 10. Domain specialists and anyone planning to undertake pattern recognition and machine learning projects.
The learners will comprehend the basic AI-related terms such as Machine Learning Deep Learning and Expert Systems which will play a key role in the future of technology and science. Participants must successfully completed Text Analytics course offered by NUS-ISS. This course is a part of the Artificial Intelligence and Graduate Certificate in Intelligent Reasoning Systems which is a part of the Stackable Graduate Certificate Programme in Artificial Intelligent Systems offered by.
This course is for. Fully online via Zoom and YouTube.
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