|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-machine-learning-with-scikit-learn/
课程评论：没有评论
课程名称：使用 Scikit-Learn 的机器学习入门 课程概述：本课程介绍了机器学习的基本概念，涵盖了行业中使用的三种主要技术：回归、分类和聚类。课程设计自成体系，易于理解，快速掌握。学习内容包括：机器学习的定义、机器学习在工业中的应用、如何识别应使用的技术、如何解决回归问题以预测数值量、如何解决分类问题以预测类别量，以及如何使用聚类进行数据分组和发现新见解。课程最大限度提升每位学员的学习体验，理论与实践各占50%。课程包含实验室实践和动手练习，且无需软件安装，您可以在 Google CoLab 上直接运行代码，立即开始学习。这是快速掌握机器学习和 Scikit-Learn 的最佳方式。 为何学习机器学习？在过去的十年中，机器学习迅速发展，彻底改变了每家公司，并赋能许多我们日常使用的应用程序。机器学习的应用场景包括推荐系统、图像识别、情感分析、价格预测、机器翻译等。在美国，超过3000个招聘岗位要求掌握 Scikit-Learn，近80000个职位涉及机器学习。机器学习工程师在主要城市的年薪通常超过六位数，而企业在发展团队上投入了数十亿美元。即便您当前已在职，了解机器学习的运作方式也将助您启动新项目，提升在公司的可见度。 为何选择 Scikit-Learn？这是学习机器学习的最佳 Python 库，提供简单而强大的 API 进行预测数据分析，广泛应用于科技、生物、金融、保险等多个行业，基于标准库如 NumPy、SciPy 和 Matplotlib 构建。
This course introduces machine learning covering the three main techniques used in industry: regression, classification, and clustering. It is designed to be self-contained, easy to approach, and fast to assimilate.You will learn:What machine learning isWhere machine learning is used in industryHow to recognize the technique you should useHow to solve regression problems to predict numerical quantitiesHow to solve classification problems to predict categorical quantitiesHow to use clustering to group your data and discover new insightsThe course is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes labs with hands-on exercises and solutions.No software installation required. You can run the code on Google CoLab and get started right away.This course is the fastest way to get up to speed in machine learning and Scikit Learn. Why Machine Learning?Machine Learning has taken the world by a storm in the last 10 years, revolutionizing every company and empowering many applications we use every day.Here are some examples of where you can find machine learning today: recommender systems, image recognition, sentiment analysis, price prediction, machine translation, and many more!There are over 3000 job announcements requiring Scikit Learn in the United States alone, and almost 80000 jobs mentioning machine learning in the US. Machine Learning engineers can easily earn six figure salaries in major cities, and companies are investing Billions of dollars in developing their teams.Even if you already have a job, understanding how machine learning works will empower you to start new projects and get visibility in your company.Why Scikit Learn?It's the best Python library to learn machine learningSimple, yet powerful API for predictive data analysisUsed in many industries: tech, biology, finance, insuranceBuilt on standard libraries such as NumPy, SciPy, and Matplotlib
