In this article, we will take a look at each one of the machine learning tools offered by AWS and understand the type of problems they try to solve for their customers. comprises of a rich set of tools that Amazon offers to help developers integrate machine learning models into their applications. AWS offers pre-trained models for use cases including computer vision, recommendation engines, and language translation. AWS Machine Learning Amazon currently offers 15 machine learning services on its platform. In this article, we will take a look at each one of them and understand the type of problem they try to solve for their customers. SageMaker helps you to take your machine learning models from concept to production in a fraction of time compared to traditional code-based approaches. Sagemaker is a managed service with a suite of tools required to build, train and deploy machine learning models. From labeling your data to optimizing the algorithms, SageMaker is a complete solution to create and deploy machine learning models. Amazon SageMaker SageMaker also has an autopilot option that will automatically process the data and run it through multiple algorithms. This helps developers to find the best algorithm for their model without manually training and testing their models. Sagemaker also comes with an integrated IDE and a sharable jupyter notebook that you can use to collaborate with your team. CodeGuru helps you to automate code reviews and performance optimizations for your application. CodeGuru can spot problems like , resource leaks, and wasted CPU cycles, helping you produce higher quality code by providing specific recommendations based on code context. Amazon CodeGuru race conditions Codeguru’s algorithms are trained with codebases from Amazon’s projects. Right now, CodeGuru supports only Java applications, but we can expect the functionality extended to other languages in the near future. Comprehend is a Natural Language Processing service from Amazon that uses machine learning to find valuable insights from textual data. Comprehend can work with unstructured data like product reviews, customer emails, twitter tweets, etc. and help you draw conclusions like overall audience sentiment. Amazon Comprehend Comprehend is also a fully managed service, meaning you can use pre-trained models to work with your data. Comprehend also has an additional service called Amazon Comprehend Medical that lets you work with medical documents to analyze medical conditions and dosages. Forecast is used to build time-series prediction models using your existing datasets. Forecast can be applied for use cases including predicting future business expenses, stock prices prediction, and resource planning for organisations based on customer demand. Amazon Forecast Forecast is also customizable and lets you build custom models on top of Amazon’s existing deep learning models. Like most machine learning tools in AWS, Forecast is also fully managed and can scale according to your business needs. Fraud Detector is another fully managed service that helps you detect fake registrations and fraudulent transactions. Fraud detector can identify potentially fraudulent accounts and helps you set up additional verification for those flagged accounts. Amazon Fraud Detector Fraud detector needs an existing dataset of labeled fraudulent transactions in order to train and understand the pattern of your customer behavior. This is used to prevent further fraudulent transactions. You can also configure custom authentication rules for guest logins and product trials. Kendra is an AI-powered enterprise search engine that will help you deliver highly accurate search results based on customer queries. Kendra can be used to power search engines in your products that help customers find the exact information they are looking for. Amazon Kendra Kendra can be used to help customers find answers to specific problems while using your product without the need for additional customer support. Kendra also supports natural language questions, delivering an even smoother experience for your customers. Lex lets you build conversational interfaces into your products. Lex offers models that can understand conversational input from users and perform the right actions. Amazon Lex Natural Language Understanding (NLU) Lex can be used as a replacement for manual customer support to help filter the usual queries, answering them automatically. Lex is also a fully managed service that scales automatically and employs a pay-as-you-use model. Personalize lets you create custom recommendations for your customers based on their usage patterns. While traditional recommendation engines can be used only to recommend products, Personalize lets you to literally personalize every step of your customer’s user experience. Amazon Personalize Personalize is a great tool to build product recommendations, custom search results based on queries and employ targeted marketing promotions. Polly helps you build speech-enabled products for your customers. Polly provides lifelike voice outputs across a variety of languages including Chinese, Korean and Japanese. Amazon Polly Polly is powered by deep learning algorithms that mimic a conversational style interface that can be used in narrations, telephony applications, etc. Rekognition is a computer vision solution from AWS that helps developers to build applications that can recognize objects from images and videos. In addition to automatic object recognition, you can customize Rekognition to pick specific objects and scenes based on your business requirements. Amazon Rekognition Rekognition can be employed in use cases like identifying manufacturing defects in products, spotting unauthorized personnel in an organization, scanning for inappropriate content in movies, etc. Rekognition can also be used to analyze player movements in games for post-game analysis. Textract enables you to read data from scanned documents. The usual approach to digitizing paper documents is using manual data entry or with custom configurations. Textract makes it easier by automatically applying rules to documents and extracting valuable data along with components like forms and images within the document. Amazon Textract OCRs Textract is useful for processing loan applications, medical claims, etc. In addition to extracting data, they can be optimized for search using Textract. Documents that usually take months to process using manual methods can be processed in hours using AWS Textract. Textract enables you to read data from scanned documents. The usual approach to digitizing paper documents is using manual data entry or with custom configurations. Textract makes it easier by automatically applying rules to documents and extracting valuable data along with components like forms and images within the document. Amazon Textract OCRs Textract is useful for processing loan applications, medical claims, etc. In addition to extracting data, they can be optimized for search using Textract. Documents that usually take months to process using manual methods can be processed in hours using AWS Textract. Translate is a machine learning service similar to google translate. Translate can work with a variety of languages with high accuracy, enabling businesses to customize their language based on the audience demographic. Amazon Translate Translate is also designed to be more natural-sounding to customers since the context of the sentence is also taken into account. Translate is also highly customizable to help improve the accuracy of translation when working with your brand names and unique words related to your business. DeepLens is a video camera with in-built deep learning capabilities that helps you to build and test computer vision models in real-time. DeepLens is fully programmable can be used to test models like live object recognition, classifying birds/ animals, face detection, etc. Amazon DeepLens DeepLens is designed for developers getting started in machine learning to get a grasp of how their models will work in the real world. DeepLens is also integrated with the AWS ecosystem and can be used with other AWS services like Lambda and Rekognition to extend its capabilities. DeepRacer If you are a fan of self-driving cars, is a small autonomous race car designed by AWS that runs using machine learning. DeepRacer helps you test your reinforcement learning models using a physical track. AWS DeepRacer You can build reinforcement learning models using AWS SageMaker and test them instantly using DeepRacer. Amazon also offers an opportunity to connect and compete with fellow enthusiasts by building virtual private race tracks. SUMMARY With a solution to almost every machine learning problem, Amazon Machine Learning offers a rich set of tools for machine learning engineers to work with. Amazon also adds new services every few months based on new use cases, making it one of the most dependable platforms for engineers to build AI solutions for their customers. Hope you enjoyed the article. If you have any questions, let me know in the comments. You can also to receive a summary of articles once a week. signup for my newsletter

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