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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-machine-learning-methods-and-techniques/
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课程名称：高级机器学习方法与技术 课程概述： 欢迎参加《高级机器学习方法与技术》课程！机器学习正在全球范围内迅速发展，各行各业都在推动机器学习方法和技术的实施，以优化我们的生活、商业及社会。这门课程将教授一系列实用的高级机器学习方法与技术，为您的机器学习职业生涯和学习奠定坚实基础。该课程包含独特内容，让您了解许多机器学习的新知识。 课程内容： - 学习高级回归、预测和分类技术。 - 掌握高级回归分析、预测和监督学习。 - 使用高级前馈神经网络和集成回归模型（如XGBoost回归模型）。 - 深入了解先进分类及其监督学习应用。 - 掌握使用高级前馈神经网络和决策树分类器的集成模型（如XGBoost分类器模型）。 - 深入了解机器学习方法、技巧、理论、最佳实践和任务处理。 - 实践使用Scikit-learn、Matplotlib、Seaborn等Python库。 - 学习人工智能预测/分类模型及自动模型创建。 - 了解云计算资源的使用和Anaconda Cloud Notebook的操作。 课程还包括： - 使用Anaconda Cloud Notebook的易于遵循的指南，以助于云计算资源的使用。 - 安装和设置Anaconda发行版的可选指南。 - 实用的视频教程以及完成课程后的证书。 目标学员： - 希望学习高级机器学习方法与技术的任何人。 - 有意在大学层面学习并希望在整个职业生涯中应用高级机器学习技能的学员。 课程要求： - 基本的数学运算能力（加减乘除）。 - 有一定的数据科学、数据分析或机器学习的实际经验。 - 熟悉Python和Pandas者优先。 - 能使用Windows、MacOS、iOS、Android、ChromeOS或Linux等操作系统的计算机，并能连接互联网。 - 本课程仅使用免费的软件，并包含云计算和Windows 10/11的安装与设置视频。 欢迎立即报名，享受超过10小时的视频教程，以及完成课程后颁发的证书！
Welcome to the course Advanced Machine Learning Methods and Techniques!Machine Learning is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Machine Learning Methods and Techniques to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Machine Learning methods and techniques, which will give you an excellent foundation for Machine Learning jobs and studies. This course has exclusive content that will teach you many new things about Machine Learning methods and techniques.This is a two-in-one master class video course which will teach you to advanced Regression, Prediction, and Classification.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.You will learnKnowledge about Advanced Machine Learning methods, techniques, theory, best practices, and tasksDeep hands-on knowledge of Advanced Machine Learning and know how to handle Machine Learning tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeAnd much more…This course includesan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Machine Learning or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, and Classification! These are the most important and useful tools for modeling, AI, and forecasting.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Machine Learning Methods and TechniquesAnyone who wants to study at the University level and want to learn Advanced Machine Learning skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, and classification.Course requirementsThe four ways of counting (+-*/)Some real Experience with Data Science, Data Analysis, or Machine LearningPython and preferably Pandas knowledgeEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 10+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
