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  • Video 
    Introduction to Linear Algebra: Systems of Linear Equations

    Introduction to Linear Algebra: Systems of Linear Equations

    With calculus well behind us, it's time to enter the next major topic in any study of mathematics. Linear Algebra! The name doesn't sound very intimidating, but there are some pretty abstract concepts in this subject. Let's start nice and easy simply by learning about what this subject covers and some basic terminology.

    Course related:
    COMP4434 Big Data Analytics
    Subjects:
    Mathematics and Statistics
    Keywords:
    Algebras Linear
    Resource Type:
    Video
     
  • MOOC 
    Machine Learning Specialization

    Machine Learning Specialization

    The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
    This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
    This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
    It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

    Course related:
    AAE5103 Artificial Intelligence in Aviation Industry
    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence
    Resource Type:
    MOOC
     
  • Others 
    Kaggle

    Kaggle

    Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence Big data
    Resource Type:
    Others
     
  • Others 
    Machine Learning Explainability

    Machine Learning Explainability

    Extract human-understandable insights from any machine learning model.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Machine learning
    Resource Type:
    Others
     
  • Others 
    Intermediate Machine Learning

    Intermediate Machine Learning

    Learn to handle missing values, non-numeric values, data leakage and more. Your models will be more accurate and useful.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Machine learning
    Resource Type:
    Others
     
  • Others 
    Natural Language Processing

    Natural Language Processing

    Distinguish yourself by learning to work with text data.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Natural language processing (Computer science)
    Resource Type:
    Others
     
  • Others 
    Deep Learning

    Deep Learning

    Use TensorFlow to take machine learning to the next level. Your new skills will amaze you.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Machine learning
    Resource Type:
    Others
     
  • Courseware 
    Introduction to Convex Optimization

    Introduction to Convex Optimization

    This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Convex functions Mathematical optimization
    Resource Type:
    Courseware