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所在平台: Udemy |
课程主页: https://www.udemy.com/course/calculus-for-data-science-machine-learning/
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课程名称：数据科学与机器学习中的微积分 - 2020 课程概述： 本课程将深入探讨微积分在数据科学和机器学习中的应用，帮助学员理解微积分的基本概念及其在机器学习中的重要性。 主要内容包括： - 微积分的定义及其在机器学习中的应用 - 微积分符号的介绍 - 计算图 - 线性函数和导数 - 乘法与商法则 - 指数和对数法则 - 正弦与余弦函数 - Sigmoid函数与双曲函数 - 链式法则 - 微分与多变量函数 - 偏微分 - Σ符号 - 泰勒和麦克劳林级数展开 - 积分及曲线之间的面积 - 距离测量，极大值和极小值 为什么学习微积分？ 微积分是理解机器学习和数据科学中所需线性代数及统计学的关键。掌握导数的基础知识将提升你对机器学习方法的直观理解，从而更好地定制算法应用以及理解调参对结果的影响。 课程提供机会： 我们提供课堂支持，不仅有视频课程，还有专业的Python程序员团队和社区为你解答问题，确保你在24小时内获得答复。 关于我们： DATAI团队是由Python程序员和数据科学家组成的团队。让我们一起注册课程，开始数据科学与机器学习的微积分学习之旅！
CALCULUS for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTIONWhat is Calculus?Applications of Calculus in MLCalculus NotationComputation MapLinear FunctionsDerivativeProduct & Quotient RuleExponential & Logarithm RuleSine and Cosine FunctionsSigmoid FunctionHyperbolic FunctionChain RuleDifferentiationMultivariable FunctionsPartial DifferentiationSigma NotationTaylor/Mclaurin Series ExpansionIntegrationArea Between CurvesDistance MeasurementArgmax - ArgminWHY CALCULUS?Calculus is absolutely key to understanding the linear algebra and statistics you need in machine learning and data science.If you can understand machine learning methods at the level of derivative you will improve your intuition for how and when they work.A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results.THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSEIn-class support: We don't just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.WHO WE ARE: DATAI TEAM ACADEMYDATAI TEAM is a team of Python Programmers and Data Scientists.Let's register for the course and start to Calculus for Data Science & Machine Learning.
