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所在平台: Udemy |
课程主页: https://www.udemy.com/course/professional-certificate-in-machine-learning/
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课程名称：机器学习专业证书 课程概述： 计算机与人工智能学院自豪地提供“数据挖掘与机器学习专业证书”课程。该课程由学院的专家团队（博士、博士候选人、高级讲师、顾问、研究人员）和行业专家共同开发，旨在应对2023年IT/计算机科学/工程/数据科学领域中薪资最高的工作与技能需求。课程包含互动的实时代码演示，逐步指导学员如何应用每个概念和原则，确保每一步都得到清晰解释。 了解人工智能（AI）与机器学习的关系，AI是模仿人类智能的广泛科学，而机器学习是AI的一个特定子集，通过训练机器学习如何学习。课程中，我们将通过视频示例更好地理解这两项技术的使用。 学习成果： - 理解监督学习与无监督学习的基本概念 - 掌握机器学习技术的适用场景 - 使用先进的Python框架构建神经网络模型 - 通过一步步的指导从零开始构建神经网络模型 - 开发有效的端到端解决方案以解决实际问题 - 批判性地回顾并选择最合适的机器学习解决方案 课程要求： - 具备互联网连接的计算机 - 对学习的热情与承诺 课程结束后，您将获得： - 实现500多个项目的能力和源代码 - 机器学习基础知识的加深 - 申请数据科学梦寐以求的工作的能力 - 为大学项目获取相关知识 课程内容包括： - Python机器学习环境的搭建 - 数据理解与统计学、数据预处理（包括缩放、归一化等） - 数据可视化（图表制作）与实践 - 使用Python开发人工神经网络及深度学习项目（如手写数字识别） - 朴素贝叶斯分类器、线性回归、逻辑回归、聚类（K-均值聚类） 如有疑问，课程提供全面支持，随时解答。 本课程适合对数据挖掘与机器学习感兴趣的任何人。
Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".mIt all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts. hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2023. To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You'll see how these two technologies work, with useful examples and a few funny asides."Course Learning OutcomesTo provide a solid awareness of Supervised & Unsupervised learning coming under Machine LearningExplain the appropriate usage of Machine Learning techniques.To build appropriate neural models from using state-of-the-art python framework.To build neural models from scratch, following step-by-step instructions. To build end - to - end effective solutions to resolve real-world problems To critically review and select the most appropriate machine learning solutionspython programming is also inclusive. RequirementsA computer with internet connectionPassion & commitment At the end of the Course you will gain the following # Learn to Build 500+ Projects with source code# Strong knowledge of Fundamentals in Machine Learning# Apply for the Dream job in Data Science # Gain knowledge for your University ProjectSetting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques: Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]Naive Bayes Classifier with Python [Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering [K - Means Clustering ]K - Means ClusteringWhat if you have questions?we offer full support, answering any questions you have.There's no risk!Who this course is for:Anyone who is interested of Data Mining & Machine Learning
