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

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Machine Learning Explainability

Extract human-understandable insights from any machine learning model.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) Machine learning
Resource Type:: Others

Others

Data Visualization

Make great data visualizations. A great way to see the power of coding!

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Information visualization Python (Computer program language)
Resource Type:: Others

Others

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, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) Machine learning
Resource Type:: Others

Others

Python

Learn the most important language for data science.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language)
Resource Type:: Others

Others

Natural Language Processing

Distinguish yourself by learning to work with text data.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Natural language processing (Computer science) Python (Computer program language)
Resource Type:: Others

Others

Geospatial Analysis

Create interactive maps, and discover patterns in geospatial data.

Subjects:: Computing, Data Science and Artificial Intelligence and Land Surveying and Geo-Informatics
Keywords:: Python (Computer program language) Geospatial data
Resource Type:: Others

Others

Deep Learning

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

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) Machine learning
Resource Type:: Others

Others

Feature Engineering

Discover the most effective way to improve your models.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) Data mining Machine learning
Resource Type:: Others

Others

Pandas

Solve short hands-on challenges to perfect your data manipulation skills.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) Electronic data processing Information visualization
Resource Type:: Others

MOOC

Data Science for Construction, Architecture and Engineering

The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Python (Computer program language) City planning -- Statistical methods Information visualization
Resource Type:: MOOC

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Machine Learning Explainability

Data Visualization

Intermediate Machine Learning

Python

Natural Language Processing

Geospatial Analysis

Deep Learning

Feature Engineering

Pandas

Data Science for Construction, Architecture and Engineering

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