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PCA.ipynb 555 B

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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "code",
  5. "execution_count": null,
  6. "metadata": {},
  7. "outputs": [],
  8. "source": []
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  11. "metadata": {
  12. "kernelspec": {
  13. "display_name": "Python 3",
  14. "language": "python",
  15. "name": "python3"
  16. },
  17. "language_info": {
  18. "codemirror_mode": {
  19. "name": "ipython",
  20. "version": 3
  21. },
  22. "file_extension": ".py",
  23. "mimetype": "text/x-python",
  24. "name": "python",
  25. "nbconvert_exporter": "python",
  26. "pygments_lexer": "ipython3",
  27. "version": "3.6.9"
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机器学习越来越多应用到飞行器、机器人等领域,其目的是利用计算机实现类似人类的智能,从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术,通过具体的应用案例激发学生对该学科的兴趣,鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础,机器学习模型,无监督学习、监督学习、深度学习基础知识与实现,并学习如何利用机器学习解决实际问题,从而全面提升自我的《综合能力》。