AWS Machine Learning in Motion

您可以将机器学习用于数据分析，而无需掌握许多复杂的数学，框架和编码技术。即使您以前从未构建过机器学习模型，托管在Amazon Web Services云平台上的机器学习服务也是入门的理想方法

在此交互式实时视频课程中，您将在经验丰富的软件工程师和TED演讲者Kesha Williams的指导下开始基于云的机器学习。在构建有效的打击犯罪机器学习算法时，您将突破理论和行话！从介绍AWS工具和机器学习基础知识开始，您将深入研究AWS支持的学习算法，例如线性回归，多项式逻辑回归和逻辑回归。

然后是真正有趣的部分！获取并为自己的机器学习模型准备数据集时，您会手头肮脏。您将学习如何训练模型以识别模式并对其进行优化以变得更加准确。贯穿整个过程，您还将使用AWS Lambda，Boto3，Quicksight和IoT工具进行练习，以构建一个完全无服务器的应用程序，该应用程序可以基于实时预测做出决策！

h264, yuv420p, 1280×720 |ENGLISH, aac, 48000 Hz, stereo, s16 | 3h 42 mn | 1.5 GB
Instructor: Kesha Williams

You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you’ve never built a machine learning model before

About the subject
AWS offers a suite of tools perfect for training and deploying your own ML models. Better yet, it comes with all the benefits developers love about AWS, with helpful support at your fingertips, security for every step, and the ability to pay for just what you need! It’s perfect for developers who want to get the job done with minimal fuss.
About the video

See it. Do it. Learn it! This amazing liveVideo course will put your machine learning on the fast track! AWS Machine Learning in Motion gives you a complete tour of the essential tools, techniques, and concepts you need to do complex predictions and other data analysis using the AWS machine learning services!

In this interactive liveVideo course, you’ll get started with cloud-based machine learning under the guidance of experienced software engineer and TED Speaker Kesha Williams. You’ll cut through the theory and jargon as you build a working crime-fighting machine learning algorithm! Starting with a tour of AWS’ tools and the basics of machine learning, you’ll dive into the learning algorithms supported by AWS, such as linear regression, multinomial logistic regression, and logistic regression.

Then comes the really fun part! You’ll get your hands dirty as you obtain and prepare a data set for your own machine learning model. You’ll learn how to train the model to recognize patterns and optimize it to become more accurate. With engaging exercises throughout, you’ll also practice with the AWS Lambda, Boto3, Quicksight, and IoT tools to build a completely serverless application that can make decisions based on real-time predictions!

You’ll start to feel like Tom Cruise in Minority Report as your algorithm grows into something that can look at images and tell you if a crime is happening! With some basic Python skills and AWS Machine Learning in Motion, you can build it right now!
Prerequisites
Requires a beginner-level understanding of AWS and the Python programming language. No experience with machine learning is needed.
What you will learn

Machine learning in the cloud
Combining AWS Lambda and Python
Reviewing data with AWS QuickSight
Loading your data into AWS S3 for modelling
Generating and using predictions
Retraining ML models