Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

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Codecademy: Learn to Code for Free

Learn to Code for Free. We're here to make coding more accessible, so everyone can learn the skills they need to upgrade their careers. For example, you can learn Python, HTML, CSS, and JavaScript.

Subjects:: Computing
Keywords:: Computer programming Programming languages (Electronic computers)
Resource Type:: Others

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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

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Feature Engineering

Discover the most effective way to improve your models.

Subjects:: Computing
Keywords:: Machine learning Data mining Python (Computer program language)
Resource Type:: Others

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Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with
(1) Zero configuration required
(2) Free access to GPUs
(3) Easy sharing
Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier. Watch Introduction to Colab to learn (https://www.youtube.com/watch?v=inN8seMm7UI) more, or just get started below!

Course related:: COMP3011 Machine Learning and Data Analytics
Subjects:: Computing
Keywords:: Computer programming Computer science Python (Computer program language)
Resource Type:: Others

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IEEE Spectrum

IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through its more than 396,000 members in over 160 countries, and its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing, and technology information around the globe.

Course related:: ENG1003 Freshman Seminar for Engineering
Subjects:: Electronic and Information Engineering and Electrical Engineering
Keywords:: Electronic engineering Automatic control. Electronics
Resource Type:: Others

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Incorporating and organizing OER for learning AI (OER4AI) practically with fun

OER4AI features a collection of public resources on AI, with categorization of different AI topics. With this OER portal, teachers can use its teaching materials, while students can access it and attempt its exercises. We aim at:
• Providing materials for students to gain hands-on experience;
• Collecting the public resources on AI;
• Giving teachers access to this website through PolyU OER Portal.

Subjects:: Computing
Keywords:: Machine learning Machine learning -- Study teaching Artificial intelligence Artificial intelligence -- Study teaching
Resource Type:: Others

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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

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

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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

Machine Learning Foundations and Machine Learning Techniques MOOC

I am fortunate to be among the very first NTU EECS professors to offer two Mandarin-teaching MOOCs (massive open online courses) on NTU@Coursera. The two MOOCs are Machine Learning Foundations (Mathematical, Algorithmic) and Machine Learning Techniques and are based on the textbook Learning from Data: A Short Course that I co-authored. The book is consistently among the best sellers in Machine Learning on Amazon.
The slides of the MOOCs below are available as is with no explicit or implied warranties. The slides themselves are shared by CC-BY-NC 3.0, but the copyright of all materials (figures in particular) remain with the original copyright holder (in almost all cases the authors of the Learning from Data: A Short Course book).

Course related:: COMP4432 Machine Learning
Subjects:: Computing
Keywords:: Machine learning
Resource Type:: Others

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Codecademy: Learn to Code for Free

Deep Learning

Feature Engineering

Google Colab

IEEE Spectrum

Incorporating and organizing OER for learning AI (OER4AI) practically with fun

Intermediate Machine Learning

Kaggle

Machine Learning Explainability

Machine Learning Foundations and Machine Learning Techniques MOOC

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