ml

ml:athena

Anonymous (anonymous@undisclosed.example.com) — 2019-09-09T00:04:23+0000

Athena Athena helps you analyze unstructured, semi-structured, and structured data stored in Amazon S3. Examples include CSV, JSON, or columnar data formats such as Apache Parquet and Apache ORC. You can use Athena to run ad-hoc queries using ANSI SQL, without the need to aggregate or load the data into Athena.

ml:codesamples

Anonymous (anonymous@undisclosed.example.com) — 2019-08-12T13:56:20+0000

This section is dedicated to useful code snippets to help with analyzing data SQL Commands Select for generating a run total and calculating the median value Oracle: SELECT PO_DT FROM ( SELECT PO_DT, COUNT(PO_ID) OVER (ORDER BY PO_DT) AS RUNSUM, COUNT(PO_ID) OVER () AS TOTAL FROM PS_PO_HDR_SUM_VW ) WHERE RUNSUM >= (TOTAL / 2) AND ROWNUM=1 ; ORDER BY PO_DT;

ml:datasets

Anonymous (anonymous@undisclosed.example.com) — 2019-04-11T13:21:01+0000

Data Sets - Creation and Maintenance. For Machine Learning to work effectively current solutions require access to a data set that can provide the ML Model with sufficient data to achieve a high probability match to the object being observed. It has been noted from numerous potential clients that this is an area where not allot of source data is available. There are data sets for common items, such as cats, dogs, clouds, etc

ml:deepracer

Anonymous (anonymous@undisclosed.example.com) — 2019-06-20T17:32:24+0000

AWS DeepRacer AWS DeepRacer is the fastest way to get rolling with machine learning, literally. Get hands-on with a fully autonomous 1/18th scale race car driven by reinforcement learning, 3D racing simulator, and global racing league. AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine le…

ml:gdelt

Anonymous (anonymous@undisclosed.example.com) — 2019-02-17T17:36:56+0000

A Global Database of Society Supported by Google Jigsaw, the GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.

ml:general

Anonymous (anonymous@undisclosed.example.com) — 2019-05-02T20:23:02+0000

Open Data Sets Kaggle Kaggle has come up with a platform where people can donate open datasets. Data engineers and other community members can have open access to these datasets and can contribute to the open data movement. They have more than 350 datasets in total, with more than 200 as featured datasets. It has a few interesting datasets on the platform that are not present at other places, and it’s a platform to connect with other data enthusiasts.

ml:intro

Anonymous (anonymous@undisclosed.example.com) — 2022-03-21T14:27:33+0000

Start Page for ML A good place to get an understanding of the AWS Services that support Machine Learning Julien Simon's Map to AWS Machine Learning Noah Gift - A thought Leader in AI/ML on AWS * * - An excellent tutorial on best practices for developing ML.

ml:machine_learning

Anonymous (anonymous@undisclosed.example.com) — 2022-03-21T11:39:01+0000

Machine Learning Tools AWS S3 Using Amazon S3 with Amazon ML Amazon Simple Storage Service (Amazon S3) is storage for the Internet. You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere on the web. Amazon ML uses Amazon S3 as a primary data repository for the following tasks:

ml:naics

Anonymous (anonymous@undisclosed.example.com) — 2019-02-17T14:00:22+0000

NAICS Codes Master File

ml:noa

Anonymous (anonymous@undisclosed.example.com) — 2019-02-17T13:37:25+0000

Weather and Climate Analysis AWS has provided public Data for ML for NOAA Historical Weather Conditions. AWS Open Data Repository: AWS Blog for this Demo: NOAA Source Data: NOAA Global Forecast Dataset:

ml:quicksight

Anonymous (anonymous@undisclosed.example.com) — 2019-03-25T15:33:20+0000

QuickSight Amazon QuickSight is a business analytics service you can use to build visualizations, perform ad hoc analysis, and get business insights from your data. It can automatically discover AWS data sources and also works with your data sources. Amazon QuickSight enables organizations to scale to hundreds of thousands of users, and delivers responsive performance by using a robust in-memory engine (SPICE).

ml:scm

Anonymous (anonymous@undisclosed.example.com) — 2019-05-02T21:02:00+0000

DLZP Supply Chain Machine Learning Solutions Problem Statement Losing customers is costly for any business. Identifying unhappy customers early on gives you a chance to offer them incentives to stay. This notebook describes using machine learning (ML) for the automated identification of unhappy customers, also known as customer churn prediction. ML models rarely give perfect predictions though, so this notebook is also about how to incorporate the relative costs of prediction mistakes when det…

ml:sidebar

Anonymous (anonymous@undisclosed.example.com) — 2022-03-21T11:45:31+0000

Machine Learning Menu Home ---------- AI/ML Tools Artificial Intelligence Machine Learning Deep Racer Athena QuickSight Open Source Tools Code Snippets ---------- Data Sources NOAA Weather Data US SOI Tax Stats NAICS Codes Global Database of Society General Data Sources (Data Aggregators) ---------- DLZP Solutions Wind Prediction Model Supply Chain Data Set Solution Simultaneous localization and Mapping ---------- Contact your DLZP Group Account Manager if you're unabl…

ml:slam

Anonymous (anonymous@undisclosed.example.com) — 2019-04-11T13:18:29+0000

Definition: SLAM from a DLZP Group perspective is the ability to use low cost imaging devices to create visuals of the environment and then to classify that data for use by clients in their applications. This can be used for Equipment Tracking and Evaluation, Endangered Species Identification, and Space Use by NASA for the Manned/Unmanned Missions.

ml:start

Anonymous (anonymous@undisclosed.example.com) — 2022-03-21T11:12:00+0000

Starting page for DLZP ML DLZP utlizes AWS for our ML projects. The following links provide you with details of the ML Services available on AWS. * Data Lakes and Analytics - * DevOps - * Machine Learning -

ml:tools

Anonymous (anonymous@undisclosed.example.com) — 2019-06-18T15:24:23+0000

Open Source Tools Image Downloaders Google Images Download * Documentation: * GitHub Project:

ml:ustax

Anonymous (anonymous@undisclosed.example.com) — 2019-02-17T14:00:02+0000

US Tax Statistics

ml:weatherwind

Anonymous (anonymous@undisclosed.example.com) — 2022-03-21T12:04:37+0000

DLZP Wind Prediction Model Background Client is interested in improving their Wind Generation Forecasting, this project was to assist the client in evaluation of their current capabilities and working with them to improve their forecasting accuracy.