智慧型演算法

Introduce state-of-the-art computational algorithms for scientific, engineering, AI and machine-learning applications using the Python programming language. In addition to gaining expert knowledge in Python programming and Linux, students will also learn and use the most important current open-source Python libraries for numerical computation, engineering data visualization, machine-learning & AI. This class will involve a combination of lectures as well as hands on programming projects.

教師未提供此項資料

無備註

教師未提供此項資料

教師未提供此項資料

• • Linux OS and Linux VM’s

• • Python programming

  o Basics – datatypes, control structures, syntax o Object-oriented programming o Advanced Python programming techniques & Parallel Processing

• • Production software development techniques/best-practices

• • Matrices, Numerical Computation, Data Visualization

  o NumPy o SciPy o MatplotLib o Python Image Processing Library o Discrete-time simulation

• • Python binding/wrapping of C++ components for fast computation

  o C++ brief review o Cython language & framework – Python with types o Cython for wrapping C++ classes

• • Scikit-Learn machine-learning library

  o Supervised & Unsupervised Learning theory/fundamentals o Artificial neural networks, Perceptrons o Decision Trees, Ensemble Learning o Clustering

• • TensorFlow Open-source library

  o Deep neural networks (DNN’s) o Convolutional neural networks (CNN’s) o Image/Text recognition o Keras

• • Reinforcement Learning

  o RL theory/fundamentals o Q-learning o Temporal difference learning o Direct policy search

• • Introduction to computational & machine-learning programming in Python

教師未提供此項資料

地點

教師未提供此項資料

時間

教師未提供此項資料

聯絡方式

教師未提供此項資料