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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-machine-learning-statistics-python/
课程评论：没有评论
**课程总结：人工智能、机器学习、统计学与Python** 本课程为人工智能（AI）和机器学习（ML）提供了一个全面的入门介绍，并特别关注其在电信行业的应用。 **核心内容概述：** * **AI与ML基础：** 课程从AI/ML概念的整体概览开始，涵盖各类机器学习技术（包括深度学习）。 * **统计学基础：** 深入讲解必要的统计学知识，包括描述性统计（集中趋势、离散度、可视化），概率与分布（正态、二项、泊松分布），以及推论性统计（假设检验、置信区间）。所有统计概念都将通过Excel和Python进行实践操作。 * **Python编程：** 介绍Python及其在数据分析中常用的库，为后续的机器学习实践打下基础。 * **监督学习：** 详细讲解线性回归（包括假设、成本函数、梯度下降、正则化）和逻辑回归（包括Sigmoid函数、决策边界、异常检测）等关键监督学习技术，并提供电信网络应用案例。 * **电信行业应用：** 探讨AI/ML在电信领域的实际用例，如网络优化、欺诈检测和客户体验提升。 **学习目标：** 学员将通过参与动手项目和案例研究，将AI/ML技术应用于真实的电信数据集。课程结束后，学员将掌握扎实的AI/ML技术基础、实用的编程技能，并能够为电信行业开发和实施AI驱动的解决方案。
This course provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML) with a focus on applications in the telecommunications industry. Learners will begin with an overview of AI/ML concepts, followed by a deep dive into essential statistical foundations and Python programming for data analysis. The course covers key machine learning techniques, including supervised and unsupervised learning, model evaluation, and optimization methods. Finally, real-world use cases in telecom, such as network optimization, fraud detection, and customer experience enhancement, will be explored. By the end of the course, participants will have a strong foundation in AI/ML and its practical implementations.Course includes -AI BasicsMachine Learning OverviewTypes of Machine LearningDeep LearningApplications in TelecomIntroduction to Statistics ·Overview of Python & its libraries ·Descriptive StatisticsCentral Tendency, Dispersion & Visualization (hands on - excel & python)Probability and DistributionsNormal, Binomial & Poisson Distribution (hands on - excel & python)Inferential StatisticsHypothesis testing (t-tests)Confidence IntervalIntroduction to Supervised LearningLinear RegressionHypothesis, Cost function, Gradient Descent, RegularizationExample of telecom networkLogistic RegressionSigmoid Function, Decision Boundary, Anomaly detectionExample of telecom networkThroughout the course, participants will engage in hands-on projects and case studies, applying AI/ML techniques to real telecom datasets. By the end of the program, learners will have a strong technical foundation in AI/ML, practical coding skills, and the ability to implement AI-driven solutions tailored to the telecommunications sector.
