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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-machine-learning-with-scikit-learn-library-python/
课程评论：没有评论
课程名称：Python机器学习大师班 课程概述： 本课程旨在通过案例研究与Scikit Learn库深入理解机器学习算法。课程将涵盖多种机器学习算法，包括线性回归、逻辑回归、支持向量机（SVM）、K均值、K最近邻（KNN）、朴素贝叶斯、决策树及随机森林，并结合具体案例进行实操学习。此外，课程将为希望在数据科学、人工智能和机器学习领域开启职业生涯的学员提供路径。 课程还将探讨机器学习的类型，包括监督学习、非监督学习和增强学习。同时，课程也会介绍机器学习的基本概念，如训练与测试划分、机器学习模型及模型评估等。机器学习作为人工智能和计算机科学的一个子领域，关注于利用数据和算法模拟人类的学习过程，逐步提高系统的准确性。通过应用机器学习（ML），软件程序能在无需明确指令的情况下更准确地预测结果，以历史数据为输入，预测新的输出值。 机器学习常用于推荐引擎、业务流程自动化（BPA）、预测性维护、垃圾邮件过滤、恶意软件威胁检测及欺诈检测等多个领域。机器学习的重要性体现在它帮助企业开发新产品，并提供对消费者行为及运营模式的洞察。如今，许多顶尖企业（如Facebook、Google和Uber）的运营都围绕着机器学习展开，机器学习已成为企业竞争的重要差异化因素。
This Course will design to understand Machine Learning Algorithms with case Studies using Scikit Learn Library. The Machine Learning Algorithms such as Linear Regression, Logistic Regression, SVM, K Mean, KNN, Naïve Bayes, Decision Tree and Random Forest are covered with case studies using Scikit Learn library. The course provides path to start career in Data Science , Artificial Intelligence, Machine Learning. Machine Learning Types such as Supervise Learning, Unsupervised Learning, Reinforcement Learning are also covered. Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation are also covered. A subfield of artificial intelligence (AI) and computer science called machine learning focuses on using data and algorithms to simulate how humans learn, gradually increasing the accuracy of the system.With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmes can predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input.Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses.Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behaviour and operational business patterns. A significant portion of the operations of many of today's top businesses, like Facebook, Google, and Uber, revolve around machine learning. For many businesses, machine learning has emerged as a key competitive differentiation.
