Nexmo

AUGUST 14, 2019

And thus I thought it’d be fun to design and build something with Nexmo’s Voice and SMS APIs to do just that. To work through this tutorial, you will need a Nexmo account. You can sign up now for free if you don’t already have an account. Create a Nexmo Account. data/private.key NEXMO_NUMBER=15551234567.

APIs 63

APIs Scripts Accountability 63

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 71

Scripts Analytics Accountability Engineering 71

AWS Machine Learning

JULY 14, 2022

Data scientists often work towards understanding the effects of various data preprocessing and feature engineering strategies in combination with different model architectures and hyperparameters. Data Version Control. These placeholders point to the original data, which is decoupled from source code management.

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AWS Machine Learning

JANUARY 9, 2023

If you’ve had the opportunity to build a search application for unstructured data (i.e., Amazon Kendra provides a fully managed intelligent search service that automates document ingestion and provides highly accurate search and FAQ results based on content across many data sources. Prerequisites. Make it executable: chmod +x./search_processing_kendra_quickstart.sh.

Scripts 79

Scripts APIs Engineering Transportation 79

AWS Machine Learning

NOVEMBER 23, 2022

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. Starting with the release of Amazon EMR 6.9,

Scripts 78

Scripts APIs Engineering Sales 78

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- Class Component. Important note!

APIs 118

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AWS Machine Learning

MAY 31, 2023

Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet. The steps are as follows: Launch the CloudFormation stack in your account. Log in to your AWS account and open the AWS CloudFormation console.

APIs 78

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AWS Machine Learning

OCTOBER 19, 2022

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. The following screenshot shows an example of the data: Fig4: COVID-19 Public dataset.

Analytics 81

Analytics APIs Scripts Government 81

AWS Machine Learning

DECEMBER 21, 2022

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. The offline store is an append-only store and can be used to store and access historical feature data. Table formats provide a way to abstract data files as a table.

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Scripts Engineering APIs Big data 73

AWS Machine Learning

NOVEMBER 1, 2022

Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. Overview of solution.

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AWS Machine Learning

JUNE 15, 2022

Unstructured data continues to grow in many organizations, making it a challenge for users to get the information they need. In the subsequent sections, we use this example to demonstrate the use of hierarchical facets to narrow down search results along with step-by-step instructions you can follow to try this out in your own AWS account.

APIs 71

APIs Scripts Technology Engineering 71

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. The following figure shows both versions of these patterns.

Scripts 94

Scripts APIs Government Analytics 94

AWS Machine Learning

OCTOBER 25, 2022

Columbia University has publicly released the model weights and training data, consisting of 400,000 MSAsand PDB70 template hit files, under a permissive license. Model weights are available via scripts in the GitHub repository , and the MSAs are hosted by the Registry of Open Data on AWS (RODA). Solution overview.

APIs 76

APIs Scripts Banking Engineering 76

AWS Machine Learning

MAY 25, 2023

Furthermore, FMs are trained with a point in time snapshot of data and have no inherent ability to access fresh data at inference time; without this ability they might provide responses that are potentially incorrect or inadequate. The Streamlit application invokes the API Gateway endpoint REST API.

APIs 76

APIs Enterprise Accountability Chatbots 76

AWS Machine Learning

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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APIs Accountability Construction Management 91

Totango

APRIL 26, 2021

Integration – Enhanced and easier control of the data flow from Totango to customer systems. . Campaigns, SuccessPlays, Account, and User segments with more than one collection criteria now returns accurate results when all the collection criteria match the same collection record.

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The input directory should look like the following code if the training data contains two images. Introduction to JumpStart – Semantic Segmentation. Solution overview.

APIs 78

APIs Scripts Enterprise Big data 78

AWS Machine Learning

MARCH 1, 2023

In order to do so, customers have to retrain their existing entity extraction models with new training data that includes COVID. Custom Comprehend users need to manually monitor model performance to assess drifts, maintain data to retrain models, and select the right models that improve performance.

APIs 68

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AWS Machine Learning

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

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Scripts Metrics Construction APIs 73

AWS Machine Learning

NOVEMBER 1, 2022

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. Amazon SageMaker Pipelines helps you automate the different steps of the ML lifecycle, including data preprocessing, training, tuning and evaluating ML models, and deploying them. SageMaker pipeline steps.

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AWS Machine Learning

SEPTEMBER 2, 2022

Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural language processing now require training of deep learning models, which are growing exponentially in complexity and are often trained with hundreds of terabytes of data.

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AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 95

Scripts Best practices Engineering Accountability 95

AWS Machine Learning

AUGUST 30, 2023

Generative AI is powered by machine learning (ML) models—very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Fine-tuning a pre-trained model involves further training on specific data to improve performance on a different but related task. We use an ml.t3.medium

Healthcare 109

Healthcare APIs Metrics Scripts 109

AWS Machine Learning

AUGUST 21, 2023

Solution overview SageMaker Clarify provides ML developers with purpose-built tools to gain greater insights into their ML training data and models. Prerequisites You need the following prerequisites: An AWS account A SageMaker Jupyter notebook instance Access the code from the GitHub repository and upload it to your notebook instance.

Healthcare 76

Healthcare APIs Scripts Finance 76

AWS Machine Learning

OCTOBER 11, 2022

Supervised ML is a process that uses labeled datasets and outputs to train learning algorithms on how to classify data or predict an outcome. It provides APIs powered by ML to extract key phrases, entities, sentiment analysis, and more. You also need an AWS account and the ability to create AWS resources. Overview of solution.

APIs 73

APIs Enterprise Engineering Accountability 73

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 121

Best practices Government Engineering Accountability 121

AWS Machine Learning

MAY 16, 2023

As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. Because the models are hosted and deployed on AWS, you can rest assured that your data, whether used for evaluating or using the model at scale, is never shared with third parties.

Chatbots 85

Chatbots Scripts APIs Feedback 85

VirtualPBX

NOVEMBER 10, 2020

In our case, we built connections to Zapier and the VirtualPBX API to automate the receipt of new text messages and provide an interface for sending individual replies to customers. Buttons, and Leveraging the VirtualPBX API. Airtable lets you create Apps within your account. The buttons shown and mentioned above are custom.

APIs 75

APIs Accountability Scripts Marketing 75

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

DECEMBER 1, 2022

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. experiments=`aws --region $REGION. ExperimentName') exp_arn=$(_jq '.ExperimentArn')

APIs 66

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AWS Machine Learning

MARCH 20, 2023

Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (INT8) instead of the usual 32-bit floating point (FP32). Refer to the appendix for instance details and benchmark data.

Calibration 78

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AWS Machine Learning

JUNE 9, 2022

Recently, we also announced the launch of easy-to-use JumpStart APIs as an extension of the SageMaker Python SDK, allowing you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. The objective is to minimize prediction error on the input data. Walkthrough overview.

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Scripts APIs Enterprise Accountability 66

AWS Machine Learning

FEBRUARY 13, 2023

The creation of a scalable and hassle-free data science environment is key. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. The steps are as follows: Open AWS Cloud9 on the console. Navigate to the AWS Cloud9 console.

Scripts 73

Scripts Best practices Transportation Construction 73

AWS Machine Learning

AUGUST 11, 2022

In real-world data, entities often involve rich relationships with other entities. For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. American consumers reported losing more than $5.8

Construction 83

Construction APIs Accountability Scripts 83

AWS Machine Learning

OCTOBER 19, 2022

Amazon Fraud Detector enables customers with no ML experience to automate building fraud detection models customized for their data, leveraging more than 20 years of fraud detection expertise from AWS and Amazon.com. In the walkthrough, we also discuss how you can customize the solution to use your own data. Solution overview.

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AWS Machine Learning

JULY 14, 2022

In many of these scenarios, the effectiveness and benefits derived from these ML-powered solutions can be further enhanced when they can process and derive insights from data events in near-real time. The dataset used is sourced from the UCI Data Repository. Heat Dissipation Failure (HDF). Power Failure (PWF). Random Failure (RNF).

Engineering 76

Engineering Scripts APIs Finance 76

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. Training ML algorithms for pose estimation requires a lot of expertise and custom training data.

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APIs Scripts Engineering Technical Support 63