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所在平台: Udemy |
课程主页: https://www.udemy.com/course/start-grow-your-career-in-machine-learningdata-science/
课程评论：没有评论
课程名称：启动和发展您的机器学习/数据科学职业 课程概述： 欢迎参加《如何启动和发展您的机器学习/数据科学职业》课程！随着几乎每个行业都在寻找采用机器学习的方法，机器学习工程师和开发人员的需求比以往任何时候都要高。因此，现在是考虑机器学习职业的最佳时机，本课程将为您提供指导。 本课程旨在为您提供资源和技巧，帮助您找到理想的工作并发展您的职业生涯。课程内容包括个人面试经验分享以及通过一些热门科技公司（如谷歌、高通、Facebook、Etsy、特斯拉、苹果、三星、英特尔等）的不同类型面试的建议。我们希望您通过这门课程获得知识和信心，能够顺利应对求职、面试以及行业工作。 如果您对国际机会有很高的兴趣，我们可能会考虑为本课程添加有关国际经验的免费更新。课程将涵盖以下主题： - 机器学习职位示例 - 相关技能以及可选课程 - 如何获得所需经验 - 如何申请工作 - 如何导航面试流程 - 实习和全职职位的应对策略 - 有用的资源和个人建议 为什么选择Class Creatives的课程？ Janice Pan是Shield AI的全职人工智能高级工程师，她在计算机视觉和视频处理领域发表过论文，并曾在谷歌、高通和德州仪器等顶级科技公司实习。Janice在德克萨斯大学奥斯汀分校获得电气工程的学士、硕士和博士学位，其兴趣在于计算机视觉和机器学习。 课程适合人群： 无需具备任何专业背景或技能，只需对如何开始机器学习职业保持好奇心即可。
Hello!Welcome, and thanks for choosing How to Start & Grow Your Career in Machine Learning/Data Science!With companies in almost every industry finding ways to adopt machine learning, the demand for machine learning engineers and developers is higher than ever. Now is the best time to start considering a career in machine learning, and this course is here to guide you.This course is designed to provide you with resources and tips for getting that job and growing the career you desire.We provide tips from personal interview experiences and advice on how to pass different types of interviews with some of the hottest tech companies, such as Google, Qualcomm, Facebook, Etsy, Tesla, Apple, Samsung, Intel, and more.We hope you will come away from this course with the knowledge and confidence to navigate the job hunt, interviews, and industry jobs.***NOTE This course reflects the instructor's personal experiences with US-based companies. However, she has also worked overseas, and if there is a high interest in international opportunities, we will consider adding additional FREE updates to this course about international experiences.We will cover the following topics:Examples of Machine Learning positionsRelevant skills to have and courses to takeHow to gain the experience you needHow to apply for jobsHow to navigate the interview processHow to approach internships and full-time positionsHelpful resourcesPersonal adviceWhy Learn From Class Creatives?Janice Pan is a full-time Senior Engineer in Artificial Intelligence at Shield AI. She has published papers in the fields of computer vision and video processing and has interned at some of the top tech companies in the world, such as Google, Qualcomm, and Texas Instruments. She got her BS, MS, and PhD degrees in Electrical Engineering at The University of Texas at Austin, and her interests lie in Computer Vision and Machine Learning.Who This Course is For:You do not need to have any specialized background or skills. All we ask is that you have a curiosity for how to start a career in Machine Learning!
