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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-big-data-analytics-with-aws/
课程评论：没有评论
课程名称：AWS的机器学习与大数据分析 课程概述：在当今世界，机器学习、人工智能和大数据分析的应用正在日益增长。为了应对这一变化，拥有大数据分析师、机器学习和人工智能专家是至关重要的。如果您希望提升自己在这一领域的技能或加速职业发展，现在就可以报名参加本课程。本学习路径提供实践项目，并涵盖有关AWS云平台上所有分析和机器学习服务的理论概念。 大数据分析为何重要？大数据无处不在，从中提取有意义的洞察是企业的基本需求，因为这有助于改善业务、决策，并为企业提供竞争优势。这同样适用于组织和分析领域的专业人士。对于精通大数据分析的专业人士，职场中有着广阔的机会。 机器学习为何重要？机器学习有许多实际应用，可以带来节省时间和金钱等显著的商业成果，深刻影响组织的未来。机器学习工程师和数据科学家是高收入职业之一。 在本学习路径中，您将部署一系列与机器学习和分析相关的服务，包括： - Amazon Athena：快速查询数据，秒出结果 - Amazon CloudSearch：轻松、经济地设置、管理和扩展搜索解决方案 - Amazon ElasticSearch：实时搜索、分析和可视化数据 - Amazon Kinesis：轻松收集、处理和分析实时视频和数据流 - Amazon QuickSight：快速的云端商业智能服务，帮助您快速从数据中获取商业洞察 此外，本课程还包含许多实践内容，以培养您的分析技能。机器学习服务包括： - Amazon Sagemaker：构建、训练和部署大规模机器学习模型 - Amazon Comprehend：自然语言处理和文本分析 - Amazon Lex：支持与应用的对话接口，技术源于Alexa - Amazon Polly：使用深度学习将文本转化为逼真的语音 - Amazon Rekognition：对象和场景检测、图像审核、面部分析等 - Amazon Transcribe：自动语音识别服务 - Amazon Translate：自然和准确的语言翻译 通过本课程，您将能够深入掌握AWS提供的机器学习和大数据分析的工具和技术，为您的职业发展打开更多可能性。立即报名，提升您的技能！
In today's world, use of Machine Learning, Artificial intelligence and Big data Analytics is bound to grow from here in our daily business environment. And to combat this, it is essential to have Big data analyst, ML & AI experts in the field. So if you have always been keen on sharpening your skills in this field or simply accelerate your growth in this career choice, then ENROLL this course now.This learning path offers practical hands on [projects with also covering the theoretical concepts about all the services of Analytics and Machine Learning which is being offered by AWS Cloud. Why Big data analytics is important?Big Data is everywhere and to extract meaningful insights is the basic necessity for the business as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies to organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.Why Machine Learning is important?Machine learning has several very practical applications that drive the kind of real business results - such as time and money savings - that have the potential to dramatically impact the future of your organization. Machine learning engineer and data scientist are the highest paying jobs.In this learning path, you will deploy a wide range of services related to ML and analytics like Analytics tools are - Amazon Athena (Querying data instantly and get results in seconds)Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)Amazon ElasticSearch (Search, Analyze, and Visualize data in real-time.)Amazon Kinesis (Easily collecting, processing, and analyzing video and data streams in real time)Amazon QuickSight (Fast, Cloud-powered BI service that makes it easy to build visualizations and quickly get business insights from your data.)This course also contains many practicals to groom your analytic skills.Machine Learning Services are-Amazon Sagemaker to build, train, and deploy machine learning models at scaleAmazon Comprehend for natural Language processing and text analyticsAmazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as AlexaAmazon Polly to turn text into lifelike speech using deep learningAmazon Rekognition (Object and scene detection, Image moderation, Facial analysis, Celebrity recognition, Face comparison, Text in image and many more)Amazon Transcribe for automatic speech recognitionAmazon Translate for natural and accurate language translation
