Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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Flipboard

DECEMBER 3, 2024

At Amazon Web Services (AWS) , we are committed to empowering our partners to accelerate their cloud innovation journeys. In 2023, we expanded PTP to include Targeted Transformation Modules (TTMs), which provide tailored guidance to help AWS Partners accelerate their journey in specific topic areas.

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AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. Our goal is to work in the open-source community to help Jupyter to be the best possible notebook platform for data science and ML.

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AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface. Choose Create stack.

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Data Science Blog

JULY 23, 2023

A Data Product can take various forms, depending on the domain’s requirements and the data it manages. It could be a curated dataset, a machine learning model, an API that exposes data, a real-time data stream, a data visualization dashboard, or any other data-related asset that provides value to the organization.

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ODSC - Open Data Science

NOVEMBER 16, 2023

Intelligent Document Processing with AWS, Mastering Data Visualization, GPT-4 Turbo, and ODSC West Keynote Recaps Intelligent Document Processing with AWS AI Services and Amazon Bedrock In this article, we briefly discuss the various phases of IDP and how generative AI is being utilized to augment existing IDP workloads or develop new IDP workloads.

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Data Science Connect

JULY 22, 2024

Ironside Group is a data and analytics consulting firm that helps organizations achieve business goals through technology solutions. They specialize in data strategy, cloud migration, data architecture, data management and governance, data visualization, business analytics, and machine learning.

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Data Science Dojo

JUNE 30, 2023

The curriculum includes topics such as data mining, machine learning, and data visualization. Data Science Dojo provides both online and in-person data science bootcamps in Redmond, Washington.

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Towards AI

FEBRUARY 16, 2024

Step-by-step guide on using the GPT-4 GeoGPT+ plug-inDall-E image: impressionist painting of a heat map on a computer screen hovering over a forest fire GeoGPT+ improves geospatial analysis by providing real-time data integration and visualization of spatial data. What kind of mapping can GPTGeo+ (Geo+) create for me?

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phData

JULY 26, 2023

We’re proud to share some exciting news with our friends at AWS! phData has been officially recognized with the AWS MAP (Migration Acceleration Program) Competency! This accomplishment showcases our ability to successfully transition our clients’ data and analytics platforms to AWS and the modern data stack.

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phData

JULY 26, 2023

We’re proud to share some exciting news with our friends at AWS! phData has been officially recognized with the AWS MAP (Migration Acceleration Program) Competency! This accomplishment showcases our ability to successfully transition our clients’ data and analytics platforms to AWS and the modern data stack.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Domo works with organizations that place a strong emphasis on deriving actionable insights from their data assets. Domo’s existing solution already enables these organizations to extract valuable insights through data visualization and analysis. The workflow includes the following steps: End-users interact with Domo.AI

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

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Dataconomy

SEPTEMBER 4, 2023

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data.

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How to Learn Machine Learning

APRIL 26, 2025

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

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AWS Machine Learning Blog

FEBRUARY 22, 2023

Boomi funded this solution using the AWS PE ML FastStart program, a customer enablement program meant to take ML-enabled solutions from idea to production in a matter of weeks. Alternatives to SageMaker Boomi was already an AWS customer before the AWS PE ML FastStart program.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In recent years, TechOps has been using AI capabilities—called AIOps —for operational data collection, aggregation, and correlation to generate actionable insights, identity root causes, and more. The following table depicts a few examples of how AWS generative AI services can help with some of the day-to-day TechOps activities.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

This process significantly benefits from the MLOps features of SageMaker, which streamline the data science workflow by harnessing the powerful cloud infrastructure of AWS. Click here to open the AWS console and follow along. About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services.

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AWS Machine Learning Blog

MARCH 10, 2023

For each option, we deploy a unique stack of AWS CloudFormation templates. For the EMR cluster, connects the AWS Glue Data Catalog as metastore for EMR Hive and Presto, creates a Hive table in EMR, and fills it with data from a US airport dataset. In the Studio Home console, choose Import & prepare data visually.

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AWS Machine Learning Blog

MAY 29, 2024

The dataset we created consists of image-text pairs, with each image being an infographic, chart, or other data visualization. Fine tune the model After the data is prepared, we upload it to Amazon Simple Storage Service (Amazon S3) as the SageMaker training input. Alfred Shen is a Senior AI/ML Specialist at AWS.

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AWS Machine Learning Blog

JULY 5, 2023

Solution overview The AWS predictive maintenance solution for automotive fleets applies deep learning techniques to common areas that drive vehicle failures, unplanned downtime, and repair costs. The connected vehicle sends sensor logs to AWS IoT Core (alternatively, via an HTTP interface). Finally, you launch SageMaker Studio.

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Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

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AWS Machine Learning Blog

APRIL 4, 2025

It excels at tasks such as document analysis and deep data visualization. When hes not building on AWS, you can find him fumbling around with wood projects. Benchmark comparisons show Amazon Nova Pro matching or even surpassing GPT-4o on complex reasoning tasks, according to section 2.1.1

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ODSC - Open Data Science

FEBRUARY 2, 2023

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

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AWS Machine Learning Blog

MAY 10, 2023

In this post, we demonstrate how to set up a training job with TensorBoard in SageMaker using the SageMaker Python SDK, access SageMaker TensorBoard, explore training output data visualized in TensorBoard, and delete unused TensorBoard applications. You can also use the check boxes of the training jobs to show or hide visualizations.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This new Amazon EBS storage offers higher performance for I/O-intensive tasks such as model training, data processing, high-performance computing, and data visualization. You can now set default ( DefaultEbsVolumeSizeInGb ) and maximum ( MaximumEbsVolumeSizeInGb ) storage sizes for JupyterLab Spaces within each user profile.

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AWS Machine Learning Blog

AUGUST 2, 2023

SageMaker Distribution is a pre-built Docker image containing many popular packages for machine learning (ML), data science, and data visualization. In her 4 years at AWS, she has helped set up AI/ML platforms for enterprise customers. She is passionate about making machine learning accessible to everyone.

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Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing.

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AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. On an ongoing basis, we calculate mean absolute percentage error (MAPE) ratios with product-based data, and optimize model and feature ingestion processes.

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Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.

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AWS Machine Learning Blog

MAY 17, 2023

Solution overview Our solution consists of the following steps: Upload facies CSV data from your local machine to Snowflake. For this post, we use data from the following open-source GitHub repo. Configure AWS Identity and Access Management (IAM) roles for Snowflake and create a Snowflake integration. A Snowflake account.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. About the authors Alfred Shen is a Senior AI/ML Specialist at AWS. Dr. Changsha Ma is an AI/ML Specialist at AWS.

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Flipboard

FEBRUARY 2, 2023

About the Authors Tesfagabir Meharizghi is a Data Scientist at the Amazon ML Solutions Lab where he helps AWS customers across various industries such as healthcare and life sciences, manufacturing, automotive, and sports and media, accelerate their use of machine learning and AWS cloud services to solve their business challenges.

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DrivenData Labs

NOVEMBER 14, 2023

If you are unsure whether a specific dataset meets the competition data requirement, just ask in the competition forum. SMAP (NASA, USDA) ¶ The Soil Moisture Active Passive (SMAP) satellite mission measures moisture in surface soil around the world. SMAP has been used for projects like monitoring drought in the midwestern United States.

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Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Bring your own AI with AWS. Genie harmonizes all of your customer data using a knowledge graph. (Or,

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