COLLABORATIVE FORMATION

In response to the needs of talent training in the new era, the School of Aviation of Northwestern Polytechnical University and Chaowen Dao established a new organization composed of professors A high-level and professional teaching team has formed a cutting-edge cross-curricular course "Machine Learning and Artificial Intelligence". The course starts from current hot technologies and considers the national talent training needs, using "theory + practice" and "online + The advanced model that combines "offline" and "offline" adds strength to the construction of new engineering disciplines.

COLLABORATIVE FORMATION

This book is equipped with complete courseware, online videos, homework and practice projects, chapter exercises or exercises, MOOC videos, etc. It can be used as a teaching material for master's and undergraduate students in artificial intelligence, robotics, computers, aerospace, electronic information, automation, etc. It can also be used as a reference for relevant technical personnel.

Omnidirectional Motion

The core textbook of the course - "Machine Learning Algorithm and Implementation" has been condensed The core ideas and methods of machine learning, from shallow to deep, through algorithms, Implementation of data structures, object-oriented, programming practices, open source projects, etc. Introduced step by step, the content is comprehensive and exquisitely arranged, combined with the author's team's diverse Years of teaching experience, considering the basis of different students, allowing readers to quickly Master machine learning related knowledge and application tools.

COLLABORATIVE FORMATION

Compact and Flexible

The introduction of machine learning Python programming basics The simplest supervised and unsupervised machine learning methods - Master the core concepts and most basic methods of machines Master the concept of fitting through least squares and learn the solution method through gradient descent. Mastering an important method of machine learning through multi-layer neural networks Learn to define and solve neural network models through PyTorch And master deep learning and commonly used models Deep learning applications

COLLABORATIVE FORMATION

In order to facilitate students to preview and review after class, so that more people can access cutting-edge courses, this course has an online teaching method. The course videos and courseware have been online on video websites and public MOOC platforms, with a total of 61 lessons, covering Python programming basics, machine learning models, basic knowledge and implementation of unsupervised learning, supervised learning, deep learning, and how to use machine learning to solve practical problems./strong>

COLLABORATIVE FORMATION

Based on the teaching content, online teaching courseware was produced. The courseware uses the latest Juypter Notebook, allowing students to more easily obtain the latest version, and supports teacher-student interaction. It is equipped with complete online handouts, including explanations of the machine learning libraries sklearn and PyTorch, and is highly practical.

COLLABORATIVE FORMATION

Considering the actual teaching, the cases and codes involved in the course are all open source, the algorithms are standardized, the codes are complete, the annotations are detailed, and the example flow charts are attached.

COLLABORATIVE FORMATION

A large number of homework exercises and project reports, covering house price prediction, Titanic, Fashion, Tetris, Jigsaw-Puzzle, Sudoku, FacialKeypoint, etc., guide students to master the basic knowledge, typical methods and technologies of machine learning, and inspire students through specific application cases Interest in this subject encourages students to analyze and solve problems and challenges faced by aircraft and robots from the perspective of artificial intelligence.

COLLABORATIVE FORMATION

In order to improve students' practical abilities, Chaowendao combines theoretical teaching with engineering practice and creates a variety of training center construction plans for different majors. From fiction to reality, the plan relies on product solutions accumulated over many years of teaching and scientific research, combines electronic design, robotics and other related competition skills, and integrates the employment needs of subdivided industries related to artificial intelligence and automation. It truly runs through industry, academia and research, and highlights new engineering education. idea.

Multi-agent Collaboration

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