This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models.
Introduction to Machine Learning with Python
Introduction to Machine Learning with Python
位教师：Adwith Malpe
访问权限由 Coursera Learning Team 提供
3,200 人已注册
您将学到什么
Students will be able to apply advanced python coding skills in the real world by creating machine learning models.
您将获得的技能
- Generative Adversarial Networks (GANs)
- Unsupervised Learning
- Supervised Learning
- Image Analysis
- Applied Machine Learning
- Machine Learning Algorithms
- Classification Algorithms
- Deep Learning
- Machine Learning
- Regression Analysis
- Predictive Modeling
- Computer Programming
- Artificial Neural Networks
- Model Evaluation
- Data Processing
- Python Programming
- Computer Vision
- 技能部分已折叠。显示 7 项技能，共 17 项。
要了解的详细信息
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作业
9 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Python: A Guided Journey from Introduction to Application 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
涵盖的内容
1个视频1篇阅读材料
In this module you will learn about machine learning and how each branch of machine learning works in Python.
涵盖的内容
6个视频12篇阅读材料3个作业
In this module, you will learn about two other supervised machine learning models: k-nearest neighbors (kNN) and support vector machines (SVM). You will learn under which conditions you’d use these two models. You will also learn about unsupervised machine learning models and how they work.
涵盖的内容
4个视频11篇阅读材料3个作业1个讨论话题
In this module, you will gain an overview of advanced machine learning topics, including deep learning, image processing, and generative adversarial networks (GANs).
涵盖的内容
4个视频6篇阅读材料3个作业1次同伴评审1个讨论话题
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