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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-big-data-data-science/
课程评论：没有评论
课程名称：大数据、数据科学与人工智能入门 课程概述：本课程专为初涉大数据项目的人员设计，旨在帮助学习者更好地理解机器学习和人工智能在实际中的应用。该课程非技术性，不涉及编码，但能提高您在与数据科学家和程序员团队合作时的信心。课程将介绍数据科学、机器学习（ML）和人工智能（AI）的基本术语，同时适合对现代技术及其应用感兴趣的人士。 课程内容涵盖油气行业的预测性维护、人工智能在医疗保健中的应用、传感器及其他数字技术在建筑与施工中的使用，以及机器学习在运输和物流中的作用等案例研究。您将学习大数据、物联网（IoT）、数据科学、大数据技术、人工智能、机器学习算法、神经网络等内容，即使您没有技术或数据科学背景，这些知识也可能对您有用。 需要注意的是，这不是技术培训课程，不会教授编码、开发或统计学，但也适合技术专业人士。该课程曾被一家大型亚洲油气公司购买，以教育其现场工程师有关机器学习的知识，作为其数字化战略的一部分。 课程还包括行业专家的访谈，涉及房地产、物流与运输和医疗保健领域的大数据发展。您将学习到如何利用机器学习预测发动机故障，人工智能如何应用于抗衰老、癌症治疗和临床诊断，以及在智能建筑和智慧城市管理中使用的技术，例如纽约的哈德逊园区。 本课程有出色的特邀讲者，他们在各自领域都是专家： - WAEL ELRIFAI：日立Vantara全球解决方案工程副总裁，拥有超过15年的机器学习和物联网领域经验，也是《物联网的未来》一书的合著者。 - ED GODBER：医疗保健战略家，拥有超过20年的医疗、制药和初创公司人工智能专长经验。 - YULIA PAK：房地产与投资组合战略顾问，拥有超过12年的商业房地产顾问经验，目前与使用物联网技术来改善其房地产投资组合管理的客户合作。 希望您喜欢本课程，欢迎在每个章节的评论中告诉我如何改进课程！请在社交媒体上关注我（Shortlisted Productions），您可以在我的个人资料页面找到链接。也请查看我关于气候变化的其他课程。
This course is designed for anyone who is new to big data projects, and would like to get better understanding what machine learning and artificial intelligence mean in practice. It is not a technical course, it does not involve coding, but it will make you feel confident when working in teams with data scientists and programmers. It will bring you up to speed with the data science, ML and AI terminology. The course is also designed for people who are generally interested in modern technologies and their applications - we have included case studies covering oil & gas predictive maintenance, use of AI in healthcare, application of sensor and other digital technologies in buildings and construction, the role of machine learning in transport and logistics and many more.You will learn about big data, Internet of Things (IoT), data science, big data technologies, artificial intelligence (AI), machine learning (ML) algorithms, neural networks, and why this could be relevant to you even if you don't have technology or data science background. Please note that this is NOT TECHNICAL TRAINING and it does NOT teach Coding/Development or Statistics, but it is suitable for technical professionals. I am proud to say that this course was purchased by a large oil & gas company in Asia to educate their field engineers about machine learning as part of their digitalisation strategy. The course includes the interviews with industry experts that cover big data developments in Real Estate, Logistics & Transportation and Healthcare industries. You will learn how machine learning is used to predict engine failures, how artificial intelligence is used in anti-ageing, cancer treatment and clinical diagnosis, you will find out what technology is used in managing smart buildings and smart cities including Hudson Yards in New York. We have got fantastic guest speakers who are the experts in their areas:- WAEL ELRIFAI - Global VP of Solution Engineering - Big Data, IoT & AI at Hitachi Vantara with over 15 years of experience in the field of machine learning and IoT. Wael is also a Co-Authour of the book "The Future of IoT".- ED GODBER - Healthcare Strategist with over 20 years of experience in Healthcare, Pharmaceuticals and start-ups specialising in Artificial Intelligence.- YULIA PAK - Real Estate and Portfolio Strategy Consultant with over 12 years of experience in Commercial Real Estate advisory, currently working with clients who deploy IoT technologies to improve management of their real estate portfolio.Hope you will enjoy the course and let me know in the comments of each section how I can improve the course! Please follow me on social media (Shortlisted Productions) - you can find the links on my profile page - just click on my name at the bottom of the page just before the reviews. And please check out my other courses on Climate Change.
