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  • MOOC 
    用 Python 做商管程式設計（一）

    用 Python 做商管程式設計（一）

    本系列課程從零開始，教授一般認為最適合初學者的程式語言「Python」，目標是讓大家在完成本課程之後，一方面獲得程式設計與運算思維的基本概念，一方面也能獨立寫出能解決運算問題的程式。本課程和一般程式設計課程最不同的地方，在於它是以解決商管領域的運算問題為導向，因此課程不會只含有質因數分解、紅球白球排列組合、三角不等式、萬年曆、數字排序等傳統程式設計課程的範例與作業，而是包含了生產、物流、存貨、投資、定價等問題，讓大家在學會程式設計的同時，也直接體會程式設計與資訊技術在商管領域的各種應用。 本系列課程共分為三門課程。本門課程做為第一門課程，將介紹程式設計的基本觀念、Python 語言的基本語法、選擇、迴圈、清單，並以作業管理領域的一些簡單演算法作結。

    Course related:
    MM2425 Introduction to Business Analytics
    Subjects:
    Computing
    Keywords:
    Python (Computer program language)
    Resource Type:
    MOOC
     
  • Video 
    Learn Python - Full Course for Beginners [Tutorial]

    Learn Python - Full Course for Beginners [Tutorial]

    This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/

    Course related:
    AF3507 Company Law
    Subjects:
    Computing
    Keywords:
    Python (Computer program language)
    Resource Type:
    Video
     
  • Others 
    Google Colab

    Google Colab

    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
     
  • 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
     
  • 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 
    Data Visualization

    Data Visualization

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

    Subjects:
    Computing
    Keywords:
    Information visualization Python (Computer program language)
    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
     
  • e-book 
    Think Bayes: Bayesian Statistics Made Simple

    Think Bayes: Bayesian Statistics Made Simple

    Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.

    Subjects:
    Computing and Mathematics and Statistics
    Keywords:
    Bayesian statistical decision theory Python (Computer program language) Textbooks
    Resource Type:
    e-book
     
  • Others 
    Python

    Python

    Learn the most important language for data science.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language)
    Resource Type:
    Others